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Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
As a contributor in the SRE organization, you are passionate about delivering solutions to the real-time problems our mission-critical cloud native services encounter. You are also obsessed about achieving the high quality and reliability our customers demand. You will work closely not only with the SRE organization, but your technical deliverables will reach the entire engineering organization to enable product teams to continuously deliver features on the vanguard of innovation.
Location: Remote in Canada
What You'll Do
- Build robust, easy-to-use foundational platforms and tools that enable engineering teams to provision services rapidly, consistently, securely, and cost-effective.
- Exemplify cloud-native site reliability best practices.
- Write code that is performant, maintainable, clear, and concise.
- Employ strong problem-solving skills, with the ability to debug problems in cloud-native distributed systems.
- Influence and educate the engineering organization to adopt new and improved architectural patterns.
- Provide robust documentation for use by engineers to promote self-service.
- Take calculated risks, champion new ideas, and cultivate your craft.
What You Bring
- 5+ years of applicable experience
- Experience managing cloud platforms such as Azure, AWS, or similar.
- Experience using managed languages such as Python, Go, C#, Java, or similar.
- Experience operating in Kubernetes platforms like AKS, EKS, or similar.
- Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, tests, and releases.
- Experience using observability tools such as APM, logging, and metrics to assist with debugging issues.
- Experience using Infrastructure as Code tools for provisioning infrastructure such as Terraform, AWS CloudFormation, or similar.
- Builder-operator mindset with proven production ownership (uptime, SLOs, on-call, incident leadership).
- Empathy to support the needs of software engineers.
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
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DevOps Engineer (Digital Marketing sphere)
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Company Background
Our client is a global technology company transforming the advertising landscape by enabling advertisers, agencies, publishers, and broadcasters to leverage advanced data and modern TV technologies. Their unified technology stack includes a demand-side platform (DSP), a supply-side platform (SSP), and a robust data platform that supports scalable advertising solutions. With an international presence and a culture of flexibility and innovation, they are building a world-class engineering organization.
Project Description
As part of the DevOps team, you will be embedded within one or more software engineering teams to deliver infrastructure and operational support. You’ll take ownership of delivering scalable, automated systems and services. Your work will help bridge the gap between development and operations, ensuring reliable, secure, and performant infrastructure across a modern microservices architecture. You’ll be expected to operate infrastructure in AWS, build CI/CD pipelines, monitor performance, troubleshoot complex issues, and support both development teams and live production systems.
Technologies
- Linux
- AWS
- Chef
- Ansible
- Terraform
- Bash
- Python
- Ruby
- Bamboo
- Kubernetes
- REST APIs
- Microservices
- Prometheus
- InfluxDB
- Nagios
- ELK
- Zookeeper
- Consul
- Spark
- Hive
- EMR
- Couchbase
What You'll Do
- Contribute to the design and implementation of infrastructure solutions with a strong focus on automation and scalability;
- Operate, monitor, and troubleshoot infrastructure in large-scale production environments;
- Support developers with deployment, observability, and reliability tooling;
- Develop scripts and automation tools for monitoring, incident response, and infrastructure tasks;
- Collaborate across engineering and business teams to maintain operational excellence;
- Maintain system documentation, deployment procedures, and best practices;
- Proactively identify performance bottlenecks and implement tuning strategies;
Job Requirements
- 3+ years of experience in DevOps roles supporting large-scale production environments;
- Expertise with AWS;
- Strong Linux skills, with advanced knowledge of system internals and networking;
- Knowledge of Victoria Metrics, Click House, and Grafana;
- Hands-on experience with infrastructure-as-code tools like Chef, Terraform, or Ansible;
- Proficiency in scripting languages such as Bash, Python, or Ruby;
- Experience with Kubernetes and container orchestration;
- Familiarity with monitoring tools like Prometheus, Nagios, or InfluxDB;
- Experience with CI/CD practices and tools;
- English: B1+ level (spoken and written);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Internal startup incubator;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Cloud Infrastructure Engineer (Data Center)
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Company Background
Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.
Project Description
We are looking for a Cloud Infrastructure Engineer to help shape and deliver a modern cloud and hybrid IT strategy across Azure, AWS, and GCP. In this role, you will design scalable, secure, and cost-effective infrastructure that supports enterprise applications, hybrid connectivity, and next-generation data and AI/ML workloads.
Technologies
- Azure ecosystem
- Azure DevOps
- GCP / AWS
- Infrastructure as Code: Bicep
- Windows Server
- Microsoft SQL Server
What You'll Do
- Lead the assessment and modernization of enterprise cloud workloads, defining migration roadmaps across retain, re-platform, refactor, and retire scenarios;
- Design governed multi-cloud landing zones across Azure, AWS, and/or GCP, standardizing networking, identity, policy, and account/subscription topology through Terraform and Bicep;
- Establish cloud-agnostic infrastructure practices, reusable IaC modules, and automated provisioning standards to reduce manual operations and subscription sprawl;
- Govern identity and access across cloud platforms, SaaS applications, and CI/CD workloads using Microsoft Entra ID, conditional access, workload identity federation, and service principal controls;
- Architect secure hybrid and cross-cloud connectivity, including ExpressRoute, SD-WAN, traffic segmentation, and low-latency data transfer patterns;
- Implement zero-trust security controls for IT/OT boundaries, including inspected and policy-enforced traffic flows for SCADA, HMI, ICS, and enterprise systems;
- Design resilient, highly available cloud architectures with defined RTO/RPO targets and automated disaster recovery validation;
- Build platform services, CI/CD templates, and self-service infrastructure capabilities that enable internal teams to consume cloud services through documented standards and APIs;
- Implement governance, policy-as-code, and FinOps practices to enforce security, compliance, cost tagging, spend attribution, and cloud cost optimization;
- Support strategic modernization initiatives, including Kubernetes adoption, application containerization, database optimization, and reduction of Windows server licensing costs;
Job Requirements
- 7+ years of experience in cloud infrastructure engineering, with deep hands-on expertise in Microsoft Azure and production experience with at least two major cloud providers, such as Azure, AWS, or GCP;
- Strong experience with cloud networking, IAM, compute, IaaS/PaaS services, and Microsoft Entra ID / Azure AD, including conditional access, workload identity federation, SAML/SCIM, and service principal governance;
- Proven expertise in IaC using Terraform and/or Bicep, including governed landing zones, module registries, and cloud infrastructure migration;
- Hands-on experience designing and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, including pipeline-as-code, security scanning, and deployment gates;
- Solid understanding of zero-trust architecture, IT/OT boundary security, and industrial control environments such as SCADA, HMI, and ICS;
- Experience designing and validating disaster recovery architectures across regions and cloud providers, including RTO/RPO definition and automated failover testing;
- Familiarity with FinOps practices and tools, including cost tagging, spend attribution, showback/chargeback models, CloudHealth, CloudCor, or native cloud cost tools;
- Experience with policy-as-code frameworks such as Azure Policy, AWS SCPs, GCP Organization Policies, or Open Policy Agent;
- English level: B2 or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
DevOps Engineer (Digital Marketing)
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Company Background
Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.
Project Description
As a member of the DevOps team, you will be responsible for delivering solutions to your assigned team and scalable, reusable solutions across the entire engineering organization. You will operate infrastructure and ensure services are monitored, reliable, automated, and scalable, supporting tasks from server provisioning and application deployments to troubleshooting. You will also help bridge the gap between development and operations, collaborating across engineering and business teams.
Technologies
- AWS
- Kubernetes
- Linux admin
- OpenTelemetry/Grafana/Prometheus/Elasticsearch
- CI/CD
- ArgoCD
- Bash/Python
- Ansible/Chef
- GitLab
- Airflow
- Spark
What You'll Do
- Contribute to the implementation and design of systems and networks used to operate production infrastructure with a focus on automation;
- Collaborate with developers on operations-related issues, providing support and guidance;
- Develop tools to monitor infrastructure and custom applications;
- Troubleshoot issues across the entire stack;
- Document system design and application operation procedures;
- Build, monitor and tune production systems;
Job Requirements
- Experience with or knowledge of AWS and physical infrastructure (other cloud is a plus);
- Experience with or knowledge of automation tools (Terraform or Ansible);
- Troubleshooting skills and experience with Linux;
- Understanding of Linux, networking, and internet fundamentals;
- Understanding of monitoring infrastructure and applications (e.g. Grafana, Prometheus, InfluxDB);
- Scripting skills in one or more of the following: Bash, Python;
- Experience with containers and orchestration tools such as Docker and Kubernetes (or similar);
- Familiarity with CI/CD tools (e.g. GitLab CI, GitHub Actions, Jenkins);
- Confident use of Git, including branching, pull requests, and code review;
- Basic understanding of security concepts, including secrets management, IAM, and HTTPS/TLS;
- Ability to work with logs and identify the root cause of failures;
- Ability to work independently and deliver tasks with minimal supervision;
- Readiness to participate in on-call / shift duties on a rotating schedule;
- English: B1+ level;
Nice To Have
- Experience with highly loaded production systems;
- Experience with support services such as Consul, Zookeeper & ELK;
- Experience with noSQL solutions (Couchbase a plus);
- Experience with big data systems (EMR, Spark & Hive a plus);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Production Operations Engineer (Linux)
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Verisign helps enable the security, stability, and resiliency of the internet. We are a trusted provider of internet infrastructure services for the networked world and deliver unmatched performance in domain name system (DNS) services.
We are a mission focused, values driven company where each individual can contribute to building a stronger, more secure internet. We offer a dynamic and flexible work environment with competitive benefits and the ability to grow your career.
This position is based in our Reston, VA office and offers a hybrid work schedule.
We are looking for a Production Operations Engineer to help lead our team responsible for building, managing, maintaining and scaling operational infrastructure on which our mission-critical services are deployed or depend. We prize engineering professionals who are equipped with great technical skills and attitudes that motivate those around them. We seek individuals with a sense of purpose and for whom detail and craftsmanship are of their essence; individuals that are curious, demonstrate initiative, and love solving problems.
Responsibilities:
- Participate in technical designs for software solutions that combine Open-Source components, COTS (commercial off the shelf) components, and custom developed components
- Installation, configuration and maintenance of production, QA and development environments in which Verisign applications are deployed; environments include servers, operating systems, OpenStack, and automation tools
- Development of deployment automation tools including Ansible
- Development of enabling infrastructure using Terraform
- Coordination with other technical staff to implement systems and software
- Performance of occasional operations support functions, including problem isolation and resolution
- Documentation of processes, procedures, configurations, and deployment plans
- Provide critical technical leadership in the areas of operational process and change management, and mentor less experienced engineers
- Regularly reporting progress to management
- Participate in a 24x7 on call rotation
Our ideal candidate will have a unique blend of impeccable technical skills and a desire to work as part of a team to grow themselves and those around them. The team deploys engineers and operates enabling infrastructure in support of mission critical customer applications.
The candidate must have:
- Bachelor’s degree in Computer Science or a related technical field, or equivalent combination of education and experience
- 8+ years of experience developing and operating mission-critical systems
- Excellent understanding of Linux configuration and administration
- Strong automation experience - Not just developing automation, but knowing why we automate and what to automate
- Strong understanding of infrastructure-as-code
- Strong written and verbal communication skills – able to clearly and succinctly describe complex issues
- Familiarity with networking protocols and systems
Desired Skills, Experience, and Attributes:
- Experience with RedHat Identity Manager and/or FreeIPA
- Experience with ServiceNow
- Experience with a high-level scripting language such as Python
- Experience with RedHat Enterprise Linux and/or FreeBSD
- Experience with network troubleshooting using such tools as ping, traceroute and dig
- Deployment automation experience using tools such as Ansible
- Experience working with teams using Kanban and/or Scrum a plus
- Experience with Docker or Kubernetes in a production environment
- Experience with OpenStack in a production environment
- Experience administrating Unix systems in a large-scale environment
- Experience using Jenkins in a continuous delivery and integration environment
The pay range is $135,800 - $183,800.
The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.
Verisign is an equal opportunity employer. That means we recruit, hire, compensate, train, promote, transfer, and administer all terms and conditions of employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, age, protected veteran status, disability, or other protected categories under applicable law.
Additional Information:
Our Careers Page
Our Benefits Summary
Verisign in the Community
Our EEO Statement
Our Privacy Notice for Job Applicants/Candidates
Reasonable Accommodations
Staffing agency policy: No fees will be paid for unsolicited resumes submitted to Verisign or our employees by third parties.
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Senior Software Engineer, Embedded Software Automation and Tools
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
With so many people using Roku’s products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic. That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive; they’re obvious. To support that commitment, the Roku’s Automation support and Tools team focuses on providing innovative and impactful tools that improve efficiency, enhance productivity of all engineering to test Roku products, from industry’s most reliable streaming media platform to smart home products that seamlessly integrate with Roku entertainment OS for a great connected home user experience. We accomplish this using state of the art technology and engineering to make it happen, with consideration for the customer as the centre of all that we do.
Roku’s embedded software automation and tools team has an excellent opportunity for a Senior Software Engineer with strong experience in building automation framework and tools for embedded devices. The role involves developing and maintaining software and tools that help various internal teams to test and manage Roku’s products. Working closely with internal stakeholders to enhance existing automation toolset with new capabilities and advanced features that empower all engineering and accelerate validation efforts for SW releases.
About the role
You will work cross-functionally with various engineering teams, using your automation tooling expertise to help both firmware developers and QA to create and deliver the highest quality products that provide valuable end-user feedback to improve customer experience. This position requires Python expertise with strong experience using web frameworks, excellent debugging, written, and organizational skills. You will be joining a talented, high-performance team of developers with a history of delivery. We are looking for someone who can help us maintain this pace and continue delivering high quality as we grow.
We are looking for a keen problem solver and a self-motivated individual with excellent communication and collaborative skills who is eager to learn and grow in the consumer electronics space. As an engineer on the team, you will require the skills and confidence to undertake the challenges of working in a fast-paced environment, frequently be taken out of your comfort zone, and relish getting your hands dirty working with user-facing products.
What you will be doing:
- Develop and release new E2E automation support and tools
- Debug issues to improve the quality of automated test tools and frameworks
- Conduct code reviews to improve code quality and optimization
- Promote coding conventions and standards for code re-usability and cleanliness
- Document feature guides, identify and formulate user requirements, and define product behavior
- Support and maintain existing automation tools and technology
- Mentor less experienced engineers and drive automation development
- Assist in monitoring and maintenance of critical systems
- Champion the adoption of AI tools and technologies to enhance automation capabilities and team productivity.
- Review and provide technical feedback on design documents and high-level architecture diagrams across multiple tools and teams, with a focus on evaluating design trade-offs, scalability, maintainability, and alignment with overall system architecture.
We're excited if you have:
- 10+ years of hands-on experience with automation systems
- 10+ years of programming experience, preferably with Python
- Bachelor’s degree in computer science or related field
- Proficient in Linux, Python-based test automation frameworks, and tools using REST APIs
- Hands-on experience in development/integration of E2E test automation frameworks and tools for embedded software devices
- Proficient use of AI tools and technologies with a proven track record as a promoter and advocate for AI adoption in software development and testing automation.
- Agentic workflow familiarity: Working knowledge of multi-step AI orchestration frameworks and the practical use of AI agents to support and streamline day-to-day development workflows.
- Experienced in developing and maintaining web-based tools using JavaScript and React/Next.js
- Experience with DevOps and continuous integration tools (Jenkins, GitLab CI, Docker, and Kubernetes)
- Experience with CI/CD pipeline development and deployment via AWS or GCP cloud technologies
- Experience with unit testing frameworks – pytest/pyunit and Cypress for UI testing
- Experience developing web applications using Flask, FastAPI, Django, and Nginx
- Knowledge in using AI for increasing test automation coverage and productivity
- Experience with retail Consumer Electronic (CE) devices, ideally in the Over The Top (OTT) streaming domain
- Expert problem-solving and technical troubleshooting skills
- Ability to learn new technologies quickly
- A self-directed professional able to work independently
- Ability to work through ambiguous requirements and be flexible/adaptable to change
- Comfortable and experienced working with cross-functional peers and internal stakeholders across European and US time zones
- Excellent communication and collaborative skills
Additional nice to have skills:
- Previous experience with Non-Functional Testing (Performance Testing, Stress Testing)
- Knowledge of network technologies and libraries such as TCP/IP and HTTP
- Experience with database technologies (MySQL, PostgreSQL, MongoDB, Redis) for test data management
- Familiarity with monitoring and observability tools (Grafana, Prometheus, ELK stack, Datadog)
- Knowledge of streaming protocols and technologies (HLS, DASH, RTMP, WebRTC)
- Experience with API testing tools (Postman, REST Assured, GraphQL)
- Understanding of security testing principles and tools (OWASP, penetration testing)
- Experience with mobile testing frameworks and cross-platform testing
- Familiarity with test reporting and analytics platforms (Allure, TestRail, ReportPortal)
- Experience with infrastructure as code (Terraform, Ansible, CloudFormation)
- Knowledge of machine learning concepts for test optimization and predictive analysis
- Familiarity with Agile/Scrum methodologies and project management tools (Jira, Confluence)
- Basic understanding of hardware debugging tools and techniques for embedded systems
#LI-AB3
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Senior Software Engineer – Data Management Platform
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams.
We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.
Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.
In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions.
The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
-
Design and build APIs and backend services using Spring Boot to support data products and audience management workflows.
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Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
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Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
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Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
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Develop and fine-tune complex queries using Apache Spark for large-scale datasets.
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Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
API and Platform Development
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Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes
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Maintain NoSQL Infrastructure including ScyllaDB and Aerospike
Collaboration & Mentorship
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Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions.
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Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
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8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
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Expertise with at least one of the following ScyllaDB and Aerospike (preferred).
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Strong understanding of SOLID principles and distributed systems architecture.
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Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
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Advanced SQL skills, with expertise in query optimization for large datasets.
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Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
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Excellent verbal and written communication skills.
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Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
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Experience in AdTech, in advertising data platforms and audience management. (preferred)
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Strong programming skills in Python, Java, and/or Scala. (preferred)
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Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred)
-
Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
- Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
#LI-GL1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer – Data Management Platform
Share this job
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams.
We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.
Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.
In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions.
The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
-
Design and build APIs and backend services using Spring Boot to support data products and audience management workflows.
-
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
-
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
-
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
-
Develop and fine-tune complex queries using Apache Spark for large-scale datasets.
-
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
API and Platform Development
-
Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes
-
Maintain NoSQL Infrastructure including ScyllaDB and Aerospike
Collaboration & Mentorship
-
Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions.
-
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
-
Expertise with at least one of the following ScyllaDB and Aerospike (preferred).
-
Strong understanding of SOLID principles and distributed systems architecture.
-
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
-
Excellent verbal and written communication skills.
-
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
-
Experience in AdTech, in advertising data platforms and audience management. (preferred)
-
Strong programming skills in Python, Java, and/or Scala. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred)
-
Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
- Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
#LI-GL1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer - Advertising Analytics
Share this job
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams.
We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.
Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the Role
We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.
You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.
The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
-
Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
-
Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews.
Big Data Engineering
-
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
-
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
-
Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
-
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
-
Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
-
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
-
Expertise with at least one of the following: Apache Druid, StarRocks, and Trino.
-
Strong understanding of SOLID principles and distributed systems architecture.
-
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
- Strong programming skills in Java, Python, or Scala.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Expertise in data modeling, schema design, and data visualization tools.
-
Experience building highly scalable, low-latency, APIs.
-
Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed.
-
Exceptional verbal and written communication skills.
-
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
-
Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
-
Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
- Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
#LI-GL1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer - Advertising Analytics
Share this job
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams.
We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.
Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the Role
We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.
You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.
The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
-
Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
-
Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews.
Big Data Engineering
-
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
-
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
-
Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
-
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
-
Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
-
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
-
Expertise with at least one of the following: Apache Druid, StarRocks, and Trino.
-
Strong understanding of SOLID principles and distributed systems architecture.
-
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
- Strong programming skills in Java, Python, or Scala.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Expertise in data modeling, schema design, and data visualization tools.
-
Experience building highly scalable, low-latency, APIs.
-
Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed.
-
Exceptional verbal and written communication skills.
-
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
-
Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
-
Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
- Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
#LI-GL1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer - Cloud Infrastructure & Observability
Share this job
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Role
We are building a next-generation observability and cloud platform that is high-performance, cost-efficient, secure, and scalable across multi-region, multi-cloud clusters. You will lead the architecture and evolution of Roku’s observability and cloud infrastructure stack. This includes metrics, logs, traces, telemetry pipelines, service mesh, developer experience, and reliability of systems that power thousands of services and millions of devices.
You will drive a vision where developers gain deep visibility with minimal overhead, onboarding is seamless, and insights are available in real time. Your work will directly help Roku scale efficiently while maintaining reliability, cost control, and performance.
What You’ll Be Doing
- Architect and lead Roku’s observability platform across metrics, logs, and traces; evolve data pipelines and storage layers optimized for high throughput, performance, and cost at Roku scale (TSDBs, Parquet, distributed processing).
- Extend and harden open‑source observability systems; overhaul core components (e.g., storage layers, query paths) to improve performance, reliability, and usability at scale.
- Implement features such as pre‑aggregation, down-sampling, and sampling to reduce load and accelerate queries across the platform.
- Collaborate across platform, SRE, and product teams to migrate hundreds of workloads to our common platform; augment and automate CI/CD flows and onboarding.
- Integrate security into infrastructure and platform services; ensure robust multi‑tenant, multi‑cluster, and multi‑cloud designs.
- Contribute improvements back to open source and CNCF‑aligned projects; shape standards adoption (OpenTelemetry, OpenMetrics) across the company.
- Mentor engineers; establish best practices for reliability, efficiency, and cost management across service mesh and observability domains.
What You'll have
- 15+ years in software engineering with a track record of architecting distributed systems or platforms at scale.
- Strong hands‑on experience in Golang and one scripting language (e.g., Python or Shell).
- Experience operating observability at pb-scale ingestion and hundreds of millions of series.
- Expertise in observability platforms and tooling (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, ClickHouse) and standards (OpenTelemetry, OpenMetrics).
- Deep experience building systems of scale and operating cloud infrastructure with Kubernetes; strong proficiency with service mesh technologies (Istio/Envoy), infrastructure‑as‑code (Terraform) and experience in multi‑cloud (AWS, GCP)
- Demonstrated ability to evolve storage and query architectures for cost, scale, and latency (e.g., TSDB, Parquet, distributed processing).
- Proven experience integrating security as part of infrastructure and platform development.
- Exceptional cross‑functional communication; effective collaboration with both technical and non‑technical stakeholders.
- Culture fit: independent thinker, pragmatic problem‑solver, low‑ego collaborator who moves fast and focuses on company success.
- Experience integrating AI tools to improve processes and reduce toil.
- Open‑source contributions in CNCF projects is preferred but not mandatory.
#LI-DS4
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer - Cloud Infrastructure & Observability
Share this job
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Role
We are building a next-generation observability and cloud platform that is high-performance, cost-efficient, secure, and scalable across multi-region, multi-cloud clusters. You will lead the architecture and evolution of Roku’s observability and cloud infrastructure stack. This includes metrics, logs, traces, telemetry pipelines, service mesh, developer experience, and reliability of systems that power thousands of services and millions of devices.
You will drive a vision where developers gain deep visibility with minimal overhead, onboarding is seamless, and insights are available in real time. Your work will directly help Roku scale efficiently while maintaining reliability, cost control, and performance.
What You’ll Be Doing
- Architect and lead Roku’s observability platform across metrics, logs, and traces; evolve data pipelines and storage layers optimized for high throughput, performance, and cost at Roku scale (TSDBs, Parquet, distributed processing).
- Extend and harden open‑source observability systems; overhaul core components (e.g., storage layers, query paths) to improve performance, reliability, and usability at scale.
- Implement features such as pre‑aggregation, down-sampling, and sampling to reduce load and accelerate queries across the platform.
- Collaborate across platform, SRE, and product teams to migrate hundreds of workloads to our common platform; augment and automate CI/CD flows and onboarding.
- Integrate security into infrastructure and platform services; ensure robust multi‑tenant, multi‑cluster, and multi‑cloud designs.
- Contribute improvements back to open source and CNCF‑aligned projects; shape standards adoption (OpenTelemetry, OpenMetrics) across the company.
- Mentor engineers; establish best practices for reliability, efficiency, and cost management across service mesh and observability domains.
What You'll have
- Extensive experience with software engineering with a track record of architecting distributed systems or platforms at scale.
- Strong hands‑on experience in Golang and one scripting language (e.g., Python or Shell).
- Experience operating observability at pb-scale ingestion and hundreds of millions of series.
- Expertise in observability platforms and tooling (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, ClickHouse) and standards (OpenTelemetry, OpenMetrics).
- Deep experience building systems of scale and operating cloud infrastructure with Kubernetes; strong proficiency with service mesh technologies (Istio/Envoy), infrastructure‑as‑code (Terraform) and experience in multi‑cloud (AWS, GCP)
- Demonstrated ability to evolve storage and query architectures for cost, scale, and latency (e.g., TSDB, Parquet, distributed processing).
- Proven experience integrating security as part of infrastructure and platform development.
- Exceptional cross‑functional communication; effective collaboration with both technical and non‑technical stakeholders.
- Culture fit: independent thinker, pragmatic problem‑solver, low‑ego collaborator who moves fast and focuses on company success.
- Experience integrating AI tools to improve processes and reduce toil.
- Open‑source contributions in CNCF projects is preferred but not mandatory.
#LI-PA1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
About the Role
What you’ll be doing
- Oversee the design, implementation, and maintenance of scalable and resilient cloud infrastructure on platforms spanning AWS and GCP. Ensure high availability, reliability, and performance of critical systems
- Collaborate with your peers to be responsible for the entire software lifecycle, seek the right problem to solve, and strive for excellence
- Manage individual project priorities, deadlines, and deliverables related to your technical expertise and assigned domains
- Lead incident response efforts, working closely with cross-functional teams to resolve issues quickly and minimize downtime. Implement effective incident management processes and post-incident reviews
- Collaborate with security teams to ensure the integrity and security of infrastructure and applications. Implement security best practices and compliance standards
- Identify performance bottlenecks and optimize system resources for maximum efficiency. Conduct regular performance tuning and capacity planning exercises
- Drive continuous improvement initiatives within the team and across the organization. Proactively identify areas for enhancement and implement solutions to address them
- Maintain comprehensive documentation of systems, processes, and procedures. Foster a culture of knowledge sharing and contribute to the collective learning of the team
- Participate in 24x7 on-call rotation, and be available to work with global teams in the event of critical outages
We’re excited if you have
- 12+ years of experience in DevOps/SRE roles
- Experience in cloud-focused software development, preferably in Go, Python, or other object-oriented programming languages
- Experience with a number of the following: ECS, Docker, Kubernetes, Envoy, Istio, Linkerd, Solo
- Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation
- Strong understanding of distributed systems, microservices architecture, and cloud-native technologies
- The drive and self-motivation to understand the intricate details of a complex infrastructure environment
- Strong proficiency in cloud platforms such as AWS, Azure, or GCP
- Solid understanding of networking, security, and compliance principles
- Proven track record of driving results and delivering high-quality solutions in a fast-paced environment
- Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment
- Certifications in relevant technologies such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Certified Information Systems Security Professional (CISSP) are preferred
- BS Degree in Computer Science or Equivalent
#LI-SK8
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer, Data - Advertising Engineering
Share this job
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams.
We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.
Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the role
We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.
You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.
The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results.
What you’ll be doing
Software Development
- Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
- Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews.
Big Data Engineering
- Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
- Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
- Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
- Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
- Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
- Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re excited if you have
- 10+ years professional software development experience.
- Experience building highly scalable, low-latency REST services and API frameworks.
- Able to efficiently write SQL queries and analyze results to explore business problems and inquiries.
- Ability to translate queries and reporting requirements into production-level data processing pipelines.
- Proficient in day-to-day use of Python / Java / Scala.
- Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark.
- Expertise in data modeling, schema design, and data visualization tools.
- Experience working in GCP and/or AWS is a plus.
- Experience with JavaScript, Node.js and React is nice to have.
- Experience deploying services on Kubernetes is a plus.
- Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform) is a plus.
- Background in computer science or similar quantitative field.
#LI-GL1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Advanced Development team at Roku pushes beyond today’s product lines to invent the next generation of intelligent and generative media systems.
We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices.
This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps.
Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge convention, embrace ambiguity, and build what’s never been built before. It’s a collaborative, low-ego, ownership-driven culture built on trust and curiosity.
We’re seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision — someone who thrives where research meets production.
About the Role
As a Senior Applied Machine Learning Engineer, you’ll help design, build, and deploy the systems that make media smarter.
You’ll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence.
You’ll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment — and seeing your work directly influence how audiences experience Roku’s content and advertising ecosystem.
What You’ll Be Doing
-
Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production
-
Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations
-
Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders
-
Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality
-
Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising
-
Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services
-
Integrating services from other teams around the company, while also providing reusable ML services to others
-
Evaluating and providing feedback on new platform technologies provided by internal teams
-
Working with QA teams to address bugs and contribute to automation and quality assurance
We’re Excited If You Have
-
A Master’s degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field
-
Strong background developing applied machine learning systems using PyTorch or TensorFlow
-
Expertise in image processing, computer vision, or natural language processing
-
Experience using AWS, GCP, or Azure for storing data, training, and serving models
-
Proven ability to evaluate models and communicate insights effectively
-
Experience building APIs with frameworks such as GraphQL or REST
-
Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow
-
Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools
#LI-PA1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
-
Design and build APIs and backend services using Spring Boot to support data products and audience management workflows.
-
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
-
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
-
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
-
Develop and fine-tune complex queries using Apache Spark for large-scale datasets.
-
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
API and Platform Development
-
Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes
-
Maintain NoSQL Infrastructure including ScyllaDB and Aerospike
Collaboration & Mentorship
-
Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions.
-
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
-
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
-
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
-
Expertise in developing low latency APIs
-
Strong understanding of SOLID principles and distributed systems architecture.
-
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
-
Advanced SQL skills, with expertise in query optimization for large datasets.
-
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
-
Excellent verbal and written communication skills.
-
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
-
Experience in AdTech, in advertising data platforms and audience management. (preferred)
-
Strong programming skills in Python, Java, and/or Scala. (preferred)
-
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred)
-
Expertise in developing low latency APIs
-
Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
-
Experience in AdTech, in advertising data platforms and audience management. (preferred)
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Cloud Technology Infrastructure team at Roku is looking for a dedicated engineer to join our Cloud Infrastructure Operations group. As a pivotal team, we’re committed to building a scalable, secure, and reusable infrastructure platform that empowers all Roku teams to deliver with speed and confidence. Embracing an ‘Infrastructure as Code (IaC) First’ methodology, we’re eager to onboard a professional who’s ready to partner across teams to build foundational components in Networking, Infrastructure, Identity Management, and Security.
About the Role
Are you passionate about streamlining the creation of Cloud infrastructure to achieve maximum efficiency? Do makeshift Cloud services that require manual configuration cause you concern? If you excel in roles that simplify processes for engineers, enabling them to take ownership with ease, and if you’re an advocate for Infrastructure as Code (IaC), then this opportunity is tailored for you. Join us and play a key role in shaping the building blocks that will empower teams across Roku to innovate and thrive.
What you’ll be doing
- Collaborate with development teams to enhance their cloud service management capabilities, ensuring they can independently deploy, monitor, and maintain their services.
- Implement monitoring and observability solutions that provide real-time insights into infrastructure health, enabling proactive issue resolution and system optimization.
- Participate in a shared On-Call rotation to support critical infrastructure incidents, IAC CI pipeline issues, and cloud networking escalations, ensuring high availability and rapid incident response.
- Design and implement network observability solutions that provide end-to-end traffic visibility across cloud networking—including Kubernetes, VPCs, routing, peering, and cross-cloud connectivity—by collaborating with the Platform team to provide granular, real-time insights into cloud-native networking, leveraging visualization platforms and telemetry data to support troubleshooting and performance optimization.
- Partner with technical leaders on the Infra Roadmap to fortify our infrastructure security, leveraging cutting-edge automation tools for proactive defense strategies.
- Develop frameworks into Infrastructure as Code (IaC) workflows, promoting reusable and adaptable infrastructure components deployed via CI/CD.
- Advocate for cloud cost optimization strategies, ensuring efficient resource utilization and cost-effective infrastructure management.
- Champion best practices across all functions, including development, QA, and Infrastructure/Operations, to foster a culture of excellence and continuous improvement.
We’re excited if you have
- 7+ years of experience designing and operating scalable, resilient cloud-native systems, with a focus on automation, observability, and developer enablement.
- Deep expertise in public cloud networking (AWS/GCP), including VPC design, peering, routing, NAT gateways, and service endpoints.
- Developer skills in Python, Java, or Go writing applications and code that will bring together data from disparate systems and will work to help visualize data in a way that will make business decisions easier.
- Experience managing and debugging traffic flows between Kubernetes workloads and cloud-managed services, with a strong understanding of how service discovery, DNS, and overlay networks impact observability.
- Proven ability to architect and implement network mapping and visualization solutions (e.g., using tools like Istio telemetry, or custom Grafana dashboards) to provide actionable insights into traffic behavior and dependencies.
- Required experience building and managing complex networks in public cloud providers like AWS, GCP and integrating them with cloud-native platforms, such as Kubernetes.
- Hands-on advanced experience utilizing cloud-native services in large scale environments with AWS/GCP using Infrastructure-as-Code (Terraform) and other CI/CD tools/services.
- Experience enabling monitoring solutions to visualize and create alerts for core infrastructure with one or more of the following: Grafana, Prometheus, and Datadog.
- Experience driving timely consensus in design with other senior team members across a large organization.
- Experience with how to create infrastructure using CI, Continuous Delivery, and Continuous Deployment workflows; GitLab experience desired.
- Excellent written and verbal communication skills to help communicate complicated workflows to a broad and diverse user group.
- B.S. or M.S. degree in Computer Science, Engineering, or equivalent.
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
About the Role:
We are seeking a talented and experienced SRE (Site Reliability Engineering) Senior Software Engineer to join our dynamic team. The ideal candidate will have a strong background in SRE practices, cloud infrastructure management, and automation. If you have a consistent track record of architecting and building large-scale systems, enjoy solving intriguing system challenges at internet-scale, and if you are innovative at heart, and have a great balance of skills in learning, organizing, building, and enjoy making an impact, this role might be a great fit for you!
What you’ll be doing:
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Design & Infrastructure
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Contribute to postmortem culture by facilitating comprehensive, blameless post-incident reviews that identify root causes, contributing factors, and actionable remediation items. Track incident trends to identify systemic issues and prioritize reliability improvements.
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Implement chaos engineering practices to proactively identify failure modes, validate system resilience, and build confidence in recovery procedures. Conduct game days and disaster recovery exercises.
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SRE Process & Principles Implementation
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Deploy and evolve SRE practices across the organization by establishing core SRE principles, frameworks, and methodologies. Define and implement service reliability practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets, to balance innovation velocity with system reliability.
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Manage Error Budgets as a mechanism for making data-driven decisions about feature velocity vs. reliability. Track, report, and enforce error budget policies, facilitating conversations between engineering and product teams about risk tolerance and release decisions.
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Reliability Engineering & Infrastructure
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Reduce toil through automation by identifying repetitive operational work and systematically eliminating it through infrastructure-as-code, automation frameworks, and intelligent tooling. Measure and track toil reduction efforts, aiming to keep toil below 50% of team time.
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Implement capacity planning processes that ensure systems have adequate headroom to meet SLOs during peak traffic, unexpected load spikes, and degraded states. Develop predictive models and automated scaling mechanisms.
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Observability, Monitoring & Reporting
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Build comprehensive observability systems that provide deep visibility into service health, performance, and user experience. Implement monitoring strategies based on the Four Golden Signals (latency, traffic, errors, saturation) and USE/RED methodologies.
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Create SRE dashboards and reporting mechanisms that provide real-time visibility into SLO compliance, error budget consumption, and system reliability metrics. Develop executive-level reporting on reliability trends, incident impact, and improvement initiatives.
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Establish alerting strategies that are actionable, symptom-based, and aligned with SLOs. Reduce alert fatigue by tuning thresholds and eliminating noise while ensuring critical issues trigger appropriate responses.
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Collaboration and Leadership
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Partner with development teams to implement reliability from the design phase using SRE principles. Conduct design reviews focused on failure modes, scalability, observability, and operational concerns. Guide teams in building services that meet SLO requirements.
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Collaborate through code reviews and design reviews, ensuring infrastructure-as-code, automation scripts, and reliability improvements follow best practices, are well-documented, and maintain high-quality standards.
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Manage project priorities using error budgets as a decision-making framework. Leverage agile methodologies while ensuring reliability work gets appropriate prioritization alongside feature development.
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Operational Excellence & Continuous Improvement
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Identify and eliminate performance bottlenecks through detailed analysis of metrics, traces, and profiles. Optimize system resources, tune configurations, and implement auto-scaling to ensure SLO compliance during varying load conditions.
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Drive continuous improvement through SRE feedback loops by analyzing SLO violations, incident trends, and toil metrics to identify systemic improvements. Champion the reliability roadmap and advocate for technical debt reduction.
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Maintain a culture of documentation and knowledge sharing by creating comprehensive runbooks, operational guides, system architecture documentation, and disaster recovery procedures. Ensure operational knowledge is distributed across the team.
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Track and report on SRE metrics, including SLO compliance rates, error budget consumption, mean time to detection (MTTD), mean time to resolution (MTTR), toil percentage, and reliability improvement velocity.
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On-call & reliability
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Participate in a 12x7 on-call rotation and be available to work with global teams in the event of critical outages
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We’re excited if you have:
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Preferably 8+ years of experience in DevOps/SRE roles, with demonstrated expertise in implementing SRE principles, SLO/SLI frameworks, and error budget policies in production environments.
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Deep experience with observability and monitoring platforms such as Prometheus, Grafana, Datadog, New Relic, or equivalent, including experience building custom dashboards, alerts, and SLO-based monitoring.
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Strong background in incident management, including experience as an Incident Commander, conducting blameless postmortems, and implementing systematic reliability improvements based on incident learnings.
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Strong understanding of distributed systems and reliability engineering, including failure modes, fault tolerance patterns, circuit breakers, bulkheads, rate limiting, and graceful degradation strategies.
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Experience with a number of the following: Kubernetes, Docker, Service Mesh such as Istio, Envoy, Linkerd, Solo & ECS
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Experience in cloud-focused software development, preferably in Go, Python, or other object-oriented programming languages
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Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation
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Experience with CI/CD automation, including GitLab pipelines and other related tools.
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Strong hands-on experience with cloud platforms such as AWS, GCP or Azure
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Proven track record of implementing scalable, high-performance infrastructure solutions in fast-paced, dynamic environments
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Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment
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Self-driven and detail-oriented with the ability to understand complex distributed systems and identify reliability risks proactively.
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Certifications in relevant technologies, such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Certified Information Systems Security Professional (CISSP), are preferred
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BS Degree in Computer Science or Equivalent.
#LI-SK8
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Data Insights team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams.We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.
What You’ll Be Doing
Software Development
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Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
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Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Big Data Engineering
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Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
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Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
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Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
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Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
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Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
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Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
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Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
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8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
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Expertise with atleast one of the following Apache Druid, StarRocks, and Trino.
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Strong understanding of SOLID principles and distributed systems architecture.
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Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
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Advanced SQL skills, with expertise in query optimization for large datasets.
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Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
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Excellent verbal and written communication skills.
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Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
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Familiarity with additional big data technologies, including Hadoop and Kafka.
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Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
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Strong programming skills in Python, Java, or Scala. (preferred)
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Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
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Expertise in data modeling, schema design, and data visualization tools.
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Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Senior Software Engineer - Kubernetes & ServiceMesh
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Role
Join us in building Roku’s next-generation cloud-agnostic platform that powers Kubernetes and service mesh at scale. If you’re passionate about designing resilient infrastructure, automating deployments, and enabling hundreds of workloads across multiple regions, this role is for you. You’ll work with cutting-edge technologies like Kubernetes, Istio, Envoy, Terraform, modern observability stacks and collaborate with teams worldwide to deliver a unified hosting experience.
If you’re passionate about deep platform and infrastructure engineering, solving complex scaling challenges, and enabling teams through elegant, automated solutions—this role is for you.
About the Team
Our Cloud Compute Platform Engineering team is at the heart of Roku’s transformation toward a single, unified platform. We design and scale Kubernetes clusters, service mesh architecture, and supporting systems to ensure all engineering teams speak the same infrastructure language. We partner with internal teams to migrate workloads, enhance CI/CD pipelines, and integrate observability and security into every layer of the stack. Collaboration and impact are core to what we do.
What You’ll Be Doing
- Architect, design, and deploy Roku’s next-generation cloud platform and service mesh.
- Build and own solutions to Roku's compute problems using Docker, Kubernetes, Istio/Envoy, Terraform and scripting to evolve our tech stack and deployments.
- Proactively drive the research and implementation of new technologies to enhance scalability, reliability, and developer experience.
- Integrate security best practices into infrastructure design and automation.
- Build tooling to visualize inefficiencies and optimize costs across shared-tenancy clusters, including network traffic insights, cross-cluster communication efficiency, and cost attribution.
- Collaborate with internal teams to migrate workloads to Kubernetes + Istio, leveraging open-source observability tools.
- Work closely with the Observability team to scale monitoring and logging solutions for a holistic view of the platform.
- Leverage SRE principles to maintain high availability and streamline onboarding workflows.
- Mentor team members and help define best practices for infrastructure and automation.
We’re Excited If You Have
- Strong hands-on experience with cloud technologies (AWS preferred; GCP or Azure is a plus), specifically in architecting and managing performant, large-scale systems handling significant traffic/data.
- Deep knowledge of Kubernetes (EKS, GKE, AKS, or similar) and service mesh technologies.
- Proficiency in Go or another programming language, Python or another scripting language.
- Experience designing infrastructure and building automation tools, while collaborating with internal team members and external stakeholders.
- Experience building CI/CD pipelines and following modern deployment practices.
- Familiarity with observability tools (Prometheus, Thanos, Loki, Grafana, etc.).
- Ability to work independently and communicate effectively with technical and non-technical stakeholders.
- Passion for learning and solving complex infrastructure challenges.
- Experience integrating AI tools to improve processes and reduce operational toil (a plus).
- Master’s degree or equivalent experience (8+ years preferred).
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for an experienced Technical Support Engineer to join our Customer Service team, reporting to the Manager, Product Support. This is a hybrid position based in Escazú, Costa Rica, requiring you to be onsite three days per week. You will be part of a global, customer-focused team dedicated to delivering high-impact experiences and identifying innovative solutions. Your focus will be on providing expert, hands-on support from the implementation phase and beyond to ensure customers achieve their goals and leverage our technology to its fullest potential within a customer-centric culture that fosters success and continuous growth.
What you’ll do (Role Expectations)
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Provide front-line phone and email consultation to independently debug complex security and network problems
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Partner with Engineering to assist customers with testing and troubleshooting while providing feedback on product improvements
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Document detailed entries for incident resolutions in the technical support database to ensure solutions are actionable for customers and the internal team
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Mentor team members on advanced troubleshooting techniques and support the development of ongoing training programs
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Analyze customer use-cases to provide impactful input on product direction through the entire product cycle
Who You Are (Success Profile)
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You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
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You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
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You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
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You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
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You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
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2+ years of experience troubleshooting SSL, HTTP, and TCP/IP
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Familiarity with network transformation technologies such as MPLS, SD-WAN, or WAN Optimization
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Background knowledge of Internet and Security technologies including SWG, Sandboxing, Firewalls, DLP, and VPNs
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Strong ability to efficiently read and analyze packet captures
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Bachelor’s degree in a technical field or equivalent professional experience
What Will Make You Stand Out (Preferred Qualifications)
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Experience using Terraform for network configurations
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Vendor certifications such as CCNA or equivalent technical credentials
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Working knowledge of web-based security including Security Proxies, NGFW, and SSL/IPSec VPNs
#LI-IA1 #LI-Hybrid
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
Engineering Manager, Infrastructure
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CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.
We are seeking a strategically-minded, technology-focused, and customer-centric Engineering Manager to lead one of our Infrastructure teams here. You will lead a team responsible for building, operating, and scaling the cloud infrastructure and platform systems that underpin CLEAR’s services, ensuring reliability, performance, and security across our environments.
A successful candidate brings strong experience in cloud infrastructure, distributed systems, and operational excellence, along with a solid foundation in software engineering. You are an effective communicator who can lead complex infrastructure initiatives from inception through delivery, and thrive in fast-paced environments. This role requires a focus on building resilient, scalable systems, driving automation, and leading and developing high-performing engineering teams.
What you'll do:
- Hire, develop, and grow engineering talent through coaching, mentorship, performance management, and career development planning
- Set clear goals and expectations, provide regular feedback, and foster accountability across the team
- Own and execute the roadmap for cloud infrastructure and platform engineering, and reliability initiatives
- Design, build, and operate a scalable, secure, and highly available cloud platform infrastructure
- Drive automation across infrastructure provisioning, deployment, and operations to improve efficiency and reduce manual overhead
- Establish and enforce best practices for system reliability, observability, incident response, and disaster recovery
- Partner with engineering teams to improve deployment pipelines, service operability, and production readiness
- Provide technical leadership, making clear architectural decisions and communicating trade-offs, risks, and impacts
- Own operational excellence through metrics, SLAs/SLOs, and continuous improvement of system performance, reliability, and cost
What you're great at:
- 3+ years of experience managing and developing software engineers, with strong coaching and team leadership skills
- Strong experience with CI/CD systems, infrastructure automation, and release engineering
- Deep knowledge of cloud platforms (e.g., AWS) and distributed systems architecture
- Hands-on experience with Infrastructure as Code (e.g., Terraform, Pulumi)
- Strong expertise in Kubernetes and container orchestration at scale
- Experience designing for high availability, fault tolerance, and operational resilience
- Proficiency in at least one modern programming language (e.g., Python, and or Java) and solid software engineering fundamentals
- Experience with observability tooling (monitoring, logging, tracing) and incident management practices
- Ability to collaborate cross-functionally and influence teams to adopt infrastructure and operational best practices
- Strong interpersonal, communication, and stakeholder management skills
- Curious, proactive, and committed to continuous learning and improvement
How You’ll be Rewarded:
At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs.
We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match.
The total compensation range for this role is $275,000-$350,000, depending on levels of skills and experience.
This range represents the combined base salary, annual bonus incentive, and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.
CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.
We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.
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AI Infrastructure Engineer
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Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.
But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.
The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.
At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.
Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now!
What you’ll do
Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:
- Install, configure, and maintain AI platform and tools.
- Design, deploy, and operate infrastructure supporting ML and LLM workloads.
- Build, containerize, and deploy AI services using Docker.
- Build and maintain Machine Learning CI/CD pipelines for training, testing, and deployment.
- Deploy and manage AI services across cloud and on-prem environments.
- Automate infrastructure provisioning using Terraform and Infrastructure-as-Code best practices.
- Monitor system performance, reliability, and scalability of AI platforms.
- Implement observability for agentic AI systems to ensure reliability, transparency, and debuggability.
- Perform regular security updates, patching, access control, and vulnerability remediation.
- Integrate AI tools with APIs, data platforms, and internal systems.
- Research, evaluate, and prototype new AI, LLM, and MLOps tools.
- Troubleshoot infrastructure, data, and deployment issues.
- Research, test, and prototype emerging AI technologies.
- Document system architecture, deployment processes, and operational runbooks.
Location & Travel Expectations:
- This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
- This role requires 4-5 days per week in the office, with regular in-person meetings and events.
- Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
What you’ll bring
We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring:
- Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
- 7+ years Practical experience with LLM platforms, LLMOps, and MLOps.
- Experience deploying and maintaining AI or data platforms in production.
- Hands-on experience with AI/automation tools.
- Experience designing and orchestrating agentic automation workflows.
- Strong experience with Terraform and Infrastructure-as-Code.
- Proven experience deploying applications using Docker (Docker files, image optimization, container lifecycle).
- Expertise with cloud platforms such as AWS.
- Expertise with CI/CD tooling (GitHub Actions, GitLab CI).
- Strong Knowledge of Kubernetes and orchestration.
- Solid understanding of networking.
- Experience supporting high-availability, production AI systems.
- Scripting skills (Python, PySpark, Bash).
- Knowledge of security best practices, patch management, and access controls.
- Collaborate with engineering, data, and product teams to support AI initiatives.
- Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
- Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
- A teaching and coaching approach to guiding engineers and teams in approaches.
- Minimum of High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.
What you'll gain
The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:
- Competitive insurance including:
- Medical, dental, vision and income protection plans
- 401(k) program with:
- An employer match and immediate vesting
- Generous Paid Time Off including:
- 20 days planned PTO, as accrued
- 40 hours of unplanned PTO and 14 company or floating holidays, annually
- Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
- Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
Pay Transparency
This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.
Initial base salary range = $140,000.00 - $170,000.00
Internal leveling code: IC8
Notice to applicants:
- To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older.
- Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records.
- Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance.
- Residing in New York City: This role is not eligible for remote work in New York City.
Equal Opportunity
Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.
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Apply to Scout Motors
Senior DataOps Engineer
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Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.
But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.
The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.
At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.
Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now!
About the Team
The Data Platform Team at Scout is dedicated to unlocking the full potential of data by building a secure, scalable, and distributed platform that enables real-time insights, drives informed decision-making, and fosters innovation across the organization.
Our mission is to empower teams with actionable intelligence by streamlining data sharing, ensuring regulatory compliance, maintaining data integrity, and optimizing costs at every level.
This role is focused on building foundation for deploying AI-enabled use cases across company operations.
What you’ll do
Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:
- Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices.
- Work closely with software development and systems teams to build Data Integration solutions.
- Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench.
- Define and enhance enterprise data model to reflect relationships and dependencies.
- Review application data systems to ensure adherence to data governance policies.
- Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
- Design and Implement BI dashboards to visualize Trends and Forecasts.
- Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance.
- Design, train and deploy ML models
- Implement monitoring solutions to proactively identify and address potential issues.
- Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements.
- Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems.
Location & Travel Expectations:
- This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
- The responsibilities of this role require 4-5 days attendance in office with in-person meetings and events regularly.
- Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
What you’ll bring
We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring:
- Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
- 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment.
- Experience with streaming and event-based architecture.
- Experience implementing data lakehouse solutions using Databricks.
- Experience with infrastructure as code (Terraform).
- Proficient in building data pipelines using languages such as Python and SQL.
- Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services.
- Experience with Structured, unstructured and time series databases.
- Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx.
- Several years of experience working with cloud platforms such as AWS and Azure.
- Proven ability to develop and deploy scalable ML models.
- Hands-on experience in designing, training, and deploying ML models
- Strong ability to extract actionable insights using ML techniques
- Ability to leverage ML algorithms for forecasting trends and decision-making
- Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
- Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
What you'll gain
The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:
- Competitive insurance including:
- Medical, dental, vision and income protection plans
- 401(k) program with:
- An employer match and immediate vesting
- Generous Paid Time Off including:
- 20 days planned PTO, as accrued
- 40 hours of unplanned PTO and 14 company or floating holidays, annually
- Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
- Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
Pay Transparency
This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.
Initial base salary range = $140,000.00 - $170,000.00
Initial California base salary range = $154,000.00 - $187,000
Internal leveling code: IC8
Notice to applicants:
- To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older.
- Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records.
- Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance.
- Residing in New York City: This role is not eligible for remote work in New York City.
Equal Opportunity
Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.
Ready to apply?
Apply to Scout Motors
Senior Engineering Manager, Machine Learning
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Who We Are
Babylist is the leading registry, e-commerce, and content platform for growing families. More than 9 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, trusted guidance, and expert product recommendations for new parents and the people who love them. What began as a universal registry has grown into a full ecosystem for new parents, including the Babylist Shop, Babylist Health, and a flagship showroom in Los Angeles. Hundreds of brands in baby and beyond partner with Babylist to engage meaningfully with families during one of life’s most important transitions. With over $1 billion in annual GMV, and more than $500 million in 2024 revenue, Babylist is reshaping the $320 billion baby product industry. We’re helping parents feel confident, connected, and cared for at every step. As we build the generational brand in baby, our mission remains simple: to connect growing families with everything they need to thrive.To learn more, visit www.babylist.com.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
How We Build
Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk.
Our Tech Stack
- React, Native iOS and Android
- Ruby on Rails
- AWS, Terraform
- MySQL
- Sidekiq
- Redis
- Shopify
What the Role Is
As Babylist’s Senior Engineering Manager, Machine Learning & Discovery+Site Monetization, you’ll lead the team driving the next era of our machine learning and personalization efforts across the product. This is a hands-on leadership role for a manager who remains technically fluent while scaling people, systems, and impact. You’ll manage and grow a high-performing ML-focused pod spanning product recommendations, search, PLPs, and site monetization, with a clear mandate: maximize revenue and user value across surface areas through personalization.
You’ll guide the team on technical direction behind our homepage feed, “add next” experience, and other core personalization surfaces, while building the foundations for long-term ML excellence at Babylist.
Who You Are
- 3+ years of experience as a front-line manager delivering production-grade software or ML systems
- 5+ years of experience as an individual contributor in ML or Data Science, plus proven experience leading teams that build end-to-end machine learning systems, ideally in personalization, recommendations, or consumer-facing ML products
- Deep familiarity with the Python ML ecosystem (e.g., pandas, sklearn, xgboost, PyTorch) and comfortable reviewing designs, unblocking technical challenges, and setting high technical standards
- Experience supervising ML Engineers and/or Data Scientists; bonus points for experience managing Software Engineers
- Strong understanding of the full ML lifecycle, including data pipelines, workflow orchestration (e.g., Airflow), deployment, monitoring, and iteration in production
- Product-minded: passionate about technology, but primarily motivated by solving real user problems and driving business impact
- Experience working with large-scale, real-time or near-real-time data systems
- Comfortable owning and evolving the ML tech stack end-to-end, from data and modeling through production systems
- Background in consumer-facing products; experience in e-commerce, marketplaces, or complex user journeys is strongly preferred
- You're genuinely excited about what AI can do - not just as a concept, but as something you want to get your hands on. At Babylist, every team uses AI daily, and we're looking for people who lean in.
How You Will Make An Impact
- Build and lead the ML & personalization function: Hire, mentor, and support a multidisciplinary team (Machine Learning Engineers, Software Engineers, Product Manager, and occasional Designer), shaping the roadmap, standards, and culture for ML at Babylist
- Own high-impact ML initiatives: Deliver personalization systems that improve discovery, engagement, and monetization across key surfaces, directly impacting business outcomes
- Set technical and algorithmic direction: Define modeling approaches, data strategy, and system architecture in partnership with senior technical leaders, balancing experimentation with scalable execution
- Be hands-on when needed: Review ML/DS designs and code, build proof-of-concept models, and conduct your own data science research to de-risk ideas and accelerate progress
- Develop talent: Coach engineers on technical growth, career progression, and performance, combining strong technical standards with empowerment
- Drive cross-functional alignment: Partner closely with Product, Design, Analytics Engineering, and Data to translate ambiguous business problems into clear technical direction
- Understand the full funnel: Develop a deep understanding of Babylist’s user journeys, user feedback loops, and financial models — and how ML systems influence them end-to-end
About Compensation
We use a market-based approach to compensation. The starting salary range for this role is:
USD - $250,000 to $308,000
CAD - $230,000 to $288,000
Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.
Why You Will Love Working At Babylist
Our Culture
- We work with focus and intention, then step away to recharge
- We believe in exceptional management and invest in tools and opportunities to connect with colleagues
- We build products that positively impact millions of people's lives
- AI tools are as natural to how we work as your IDE or version control — we're not exploring this, we're living it.
Growth & Development
- Competitive pay and meaningful opportunities for career advancement
- We believe technology and data can solve hard problems
- We're committed to career progression and performance-based advancement
Compensation & Benefits
- Competitive salary with equity and bonus opportunities
- Company-paid medical, dental, and vision insurance
- Retirement savings plan with company matching and flexible spending accounts
- Generous paid parental leave and PTO
- Remote work stipend to set up your office
- Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Important Notices
Recorded Interviews Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity At Babylist, every team uses AI daily and we love it. During interviews though, we want to see you — your thinking, your problem-solving, your creativity. All interviews and assessments should be completed independently without AI tools or third-party assistance unless we tell you otherwise. We'll always be clear when AI is welcome. Misrepresentation during the process may result in removal from consideration.
Protect Yourself from Scams All official communication comes from the Babylist Talent Team via @babylist.com email addresses. We will never ask for payment, bank information, or personal financial details. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles on our careers page.
Connections at Babylist In line with our conflict of interest policy, please let us know if you have a family member or close personal relationship with a current Babylist employee. This helps us keep our process fair for everyone.
Text Message Updates You may opt in to receive SMS updates about your application. Opting out won't affect your status. Message and data rates may apply. Reply STOP to unsubscribe or HELP for assistance. See our Privacy Policy for details.
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Senior SQA and Test Infrastructure Development Engineer
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Lucid Motors is seeking a Senior SQA and Test Infrastructure Development Engineer to help build the next generation of test, automation, and validation systems that power our in‑vehicle compute platforms, embedded controllers, and advanced driver‑assistance technologies. You will play a key role in ensuring that Lucid’s software and hardware meet the highest standards of safety, reliability, and performance—supporting everything from firmware development to large‑scale automotive validation.
This role sits at the intersection of DevOps, embedded systems, and automotive test engineering, enabling fast, safe, and scalable development for the world’s most advanced electric vehicles.
What you’ll be doing
- Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows, including cross‑compilation, ECU flashing, and hardware‑in‑the‑loop (HIL) validation
- Build internal tools and services that streamline embedded software testing, firmware deployment, and continuous integration for safety‑critical systems
- Collaborate with Embedded Software, Vehicle Integration, and Test Engineering teams to design scalable test environments for Lucid’s in‑vehicle compute modules and real‑time embedded platforms
- Implement containerized and cloud‑native systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
- Integrate automotive‑specific workflows into CI/CD systems, including static analysis, MISRA compliance, traceability, and automated regression testing
- Develop monitoring, logging, and diagnostic tools to ensure high availability and performance of embedded test infrastructure
- Support and extend test frameworks used for ECU validation, vehicle‑level testing, and manufacturing test
What we need to see
- BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
- 5+ years of experience in DevOps, embedded test infrastructure, or automation tooling
- Strong proficiency in Python and experience with frameworks such as Flask or Django
- Experience with embedded Linux, cross‑compilation, and deploying applications to embedded targets
- Familiarity with automotive communication protocols such as CAN bus, or Automotive Ethernet
- Experience with HIL/SIL systems, embedded test benches, or automotive validation environments such as vector Tools
- Proficiency with version control systems such as GIT or GitLab
- Strong Linux knowledge—deployment, debugging, system monitoring, and automation
- Familiarity with bash scripting and Linux‑based automation workflows
Ways to stand out from the crowd
- Background in deploying or maintaining embedded test automation systems, including HIL rigs or ECU validation setups
- Experience with real‑time operating systems (RTOS) or embedded firmware development
- Exposure to manufacturing test environments for automotive ECUs, embedded boards, or in‑vehicle compute modules
- Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools such as Terraform or Ansible
- Passion for building robust CI/CD pipelines and developer‑facing infrastructure for embedded systems
Bonus Qualifications – Agentic AI Tools & Intelligent Automation
Lucid is increasingly leveraging agentic AI systems to accelerate development, automate complex workflows, and enhance test intelligence. Experience with any of the following is a strong plus:
- Building or integrating AI‑driven DevOps agents for automated debugging, test generation, or pipeline optimization
- Experience with LLM‑powered tools for code analysis, anomaly detection, or automated documentation
- Familiarity with AI‑assisted test case generation, including reinforcement‑learning‑based or model‑based testing
- Experience using or developing autonomous agents that interact with CI/CD systems, embedded hardware, or cloud infrastructure
- Knowledge of AI‑driven observability platforms for predictive monitoring, log intelligence, or automated root‑cause analysis
- Understanding of agent orchestration frameworks such as LangChain, LangGraph, or similar tools
- Experience integrating AI agents with automotive workflows such as ECU flashing, HIL orchestration, or embedded diagnostics
About You
You are a strong problem‑solver with excellent communication skills, comfortable working in a fast‑paced, cross‑functional environment. You take ownership, collaborate effectively across disciplines, and are motivated by building reliable, secure platforms for cutting‑edge automotive technology.
If you are passionate about embedded systems and autonomous driving and want to make a tangible impact on next‑generation vehicles, we encourage you to apply.
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
Ready to apply?
Apply to Lucid Motors
Senior SQA and Test Infrastructure Development Engineer
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Lucid Motors is seeking a Senior SQA and Test Infrastructure Development Engineer to help build the next generation of test, automation, and validation systems that power our in‑vehicle compute platforms, embedded controllers, and advanced driver‑assistance technologies. You will play a key role in ensuring that Lucid’s software and hardware meet the highest standards of safety, reliability, and performance—supporting everything from firmware development to large‑scale automotive validation.
This role sits at the intersection of DevOps, embedded systems, and automotive test engineering, enabling fast, safe, and scalable development for the world’s most advanced electric vehicles.
What you’ll be doing
- Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows, including cross‑compilation, ECU flashing, and hardware‑in‑the‑loop (HIL) validation
- Build internal tools and services that streamline embedded software testing, firmware deployment, and continuous integration for safety‑critical systems
- Collaborate with Embedded Software, Vehicle Integration, and Test Engineering teams to design scalable test environments for Lucid’s in‑vehicle compute modules and real‑time embedded platforms
- Implement containerized and cloud‑native systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
- Integrate automotive‑specific workflows into CI/CD systems, including static analysis, MISRA compliance, traceability, and automated regression testing
- Develop monitoring, logging, and diagnostic tools to ensure high availability and performance of embedded test infrastructure
- Support and extend test frameworks used for ECU validation, vehicle‑level testing, and manufacturing test
What we need to see
- BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
- 5+ years of experience in DevOps, embedded test infrastructure, or automation tooling
- Strong proficiency in Python and experience with frameworks such as Flask or Django
- Experience with embedded Linux, cross‑compilation, and deploying applications to embedded targets
- Familiarity with automotive communication protocols such as CAN bus, or Automotive Ethernet
- Experience with HIL/SIL systems, embedded test benches, or automotive validation environments such as vector Tools
- Proficiency with version control systems such as GIT or GitLab
- Strong Linux knowledge—deployment, debugging, system monitoring, and automation
- Familiarity with bash scripting and Linux‑based automation workflows
Ways to stand out from the crowd
- Background in deploying or maintaining embedded test automation systems, including HIL rigs or ECU validation setups
- Experience with real‑time operating systems (RTOS) or embedded firmware development
- Exposure to manufacturing test environments for automotive ECUs, embedded boards, or in‑vehicle compute modules
- Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools such as Terraform or Ansible
- Passion for building robust CI/CD pipelines and developer‑facing infrastructure for embedded systems
Bonus Qualifications – Agentic AI Tools & Intelligent Automation
Lucid is increasingly leveraging agentic AI systems to accelerate development, automate complex workflows, and enhance test intelligence. Experience with any of the following is a strong plus:
- Building or integrating AI‑driven DevOps agents for automated debugging, test generation, or pipeline optimization
- Experience with LLM‑powered tools for code analysis, anomaly detection, or automated documentation
- Familiarity with AI‑assisted test case generation, including reinforcement‑learning‑based or model‑based testing
- Experience using or developing autonomous agents that interact with CI/CD systems, embedded hardware, or cloud infrastructure
- Knowledge of AI‑driven observability platforms for predictive monitoring, log intelligence, or automated root‑cause analysis
- Understanding of agent orchestration frameworks such as LangChain, LangGraph, or similar tools
- Experience integrating AI agents with automotive workflows such as ECU flashing, HIL orchestration, or embedded diagnostics
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
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Sr. Site Reliability Engineer
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Summary:
The Cloud team at Lucid is currently seeking a Senior Site Reliability Engineering role. In this position, the individual will be responsible for providing
reliability to the cloud infrastructure that enabled Lucid Motors' cloud-based services and internal systems.
Responsibilities:
- Provide Reliability Engineering to cloud services deployed and managed in the region of KSA.
- Continuous delivery (CI/CD) using ArgoCD, Jenkins, Maven, and Docker.
- Architect cloud systems in highly available design, ensuring Disaster Recovery (DR) measures are in place.
- Containerization and deployment of microservices and data pipeline on Kubernetes using Helm installation.
- Advocate for a DevOps culture of automation and engineering best practices to enable development teams.
- Auto-scale and monitoring performance for Kubernetes and running applications using Prometheus and Grafana or similar tools.
- Performing SRE activities such as availability and reliability monitoring and reports.
- Deploy, configure and maintain tools such as Kafka, Spark, Trino, Airflow, MQTT, and Microservices.
- Setting up infrastructure as a service using Terraform.
- Work and deploy using the codebase repositories in GitLab, along with participation in the peer review activities.
- Support No-SQL databases such as Elastic Search, Mongo, Cassandra, and other open sources services.
- Setup and monitor various applications and services. Continuously enhance the alerts and automate the recovery process.
- Articipate in the on-call rotation to keep up the service SLA per the business needs.
- Work with Product Owners, engineering managers, and other team members in Agile Scrum and Kanban mode.
- Take appropriate actions by doing impact analysis during the incidents.
Requirements and Skills:
- B.S. or M.S. degree in Computer Science, Engineering, or equivalent field.
- Can speak English fluently to communicate with teams across geographical regions.
- +6 years of experience in SRE or DevOps Engineering.
- +5 years of experience deploying and maintaining systems on Oracle cloud (OCI), and Amazon web services (AWS).
- +3 years of experience in Terraform.
- +3 years of experience in Kubernetes.
- +3 years of experience with tools such as Jenkins, ArgoCD, etc. to build automation and CI/CD pipelines.
- Professional experience in Programing or scripting languages using Python, Go, Bash/Shell, or others.
- Experience in administrative operations knowledge in RDBMS (e.g. PostgreSQL, MySQL), and NoSQL databases (e.g. MongoDB).
- Moderate experience in distributed computing for running data systems using Spark, Hive, Zookeeper, and Kafka.
- Moderate experience in debugging tools and troubleshooting performance bottlenecks at the infrastructure or at the application tier.
- Good to have experience with Config Management using Ansible, Chef, Puppet, or others.
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
Ready to apply?
Apply to Lucid Motors
Introduction:
Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company?
At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers.
And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.
We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive.
Job Summary
We are looking for a Principal Software Engineer to drive technical excellence and scalability across our SaaS Employee Communications platform.
In this role, you will act as a hands-on technical leader, designing and delivering complex features, improving system performance and reliability, and mentoring engineers across the team. This position bridges Senior Engineers and Software Architects, translating architectural vision into robust, maintainable implementations while influencing architectural evolution through strong technical judgment and execution.
The ideal candidate brings deep SaaS expertise, hands-on experience with AWS managed & serverless technologies and a solid understanding of distributed system design.
Key Responsibilities
- Lead the design and development of complex, high-impact systems and services.
- Translate architectural blueprints into scalable, production-grade solutions.
- Design and implement microservices and APIs with a strong focus on scalability, observability, and reliability.
- Own major features or components end-to-end, including performance optimization, resilience, and cost efficiency.
- Mentor senior and mid-level engineers, conduct code reviews, and uphold best practices in coding, design, testing, and CI/CD.
- Collaborate closely with Architects, Product Managers, and DevOps to ensure architectural alignment and high-quality delivery.
- Build and optimize services using AWS serverless, event-driven, and container-based technologies (Lambda, ECS, SNS, SQS, DynamoDB, EventBridge, RDS).
- Ensure systems adhere to authentication, authorization, and compliance standards (OAuth2, OIDC, RBAC).
- Identify opportunities to improve system performance, scalability, and developer productivity.
- Advocate for continuous learning, experimentation, and innovation within the engineering organization.
- Maintain accountability for coding standards, engineering processes, and technical excellence.
- Use metrics and analytics to anticipate future engineering and scalability needs.
- Ensure compliance with data protection and privacy requirements, including GDPR, HIPAA, and PII best practices.
- Proactively identify and address technical debt and long-term improvement opportunities.
Education & Experience
- 8+ years of software development experience with demonstrated technical leadership in complex, distributed systems.
- Demonstrated strong hands-on experience in Java, with expertise in Spring Boot, concurrency, multi-threading, and RESTful service development.
- Proven experience with modern front-end frameworks such as React or Angular is mandatory for this full-stack role.
- Exposure to Node.js and TypeScript, including asynchronous programming and modular architecture is nice to have.
- Proven understanding of distributed systems, multi-tenancy, RBAC, and SaaS security principles.
- Hands-on experience with microservices architecture, Docker, Kubernetes, and AWS.
- Experience with observability best practices, including metrics, logging, tracing, and alerting.
- Strong knowledge of event-driven systems (Kafka, SNS/SQS, EventBridge, Kinesis).
- Experience with GraphQL federation and implementation.
- Experience with CI/CD pipelines, Git-based workflows, and automated testing (JUnit, Jest, Playwright, etc.).
- Proven ability to design scalable, high-performance, fault-tolerant systems in multi-tenant SaaS environments.
- Familiarity with GDPR and data privacy standards is a plus.
- Experience with infrastructure-as-code tools (Terraform, CDK) and modern observability stacks.
- Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
- Passion for continuous learning and a strong commitment to engineering excellence.
- Comfortable leading by example and driving best practices across teams.
Who We Are
- We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.
- We live the Poppulo values each day, as they are key to everything we do.
Bring Your Best Self
We show up authentically, are self-aware and always strive to be better.
- See it. Own it. Solve it.
We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures. - Together We’re Better
We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team. - Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK.
- Poppulo is an equal opportunity employer.
- Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK.
Poppulo is an equal opportunity employer.
We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.
Ready to apply?
Apply to Poppulo
Here at Ooma we empower people to connect in smarter ways. We do this by creating powerful communication experiences through our cloud-based platform to bring people together at work and at home. Our solutions help small business owners stay connected with their customers and manage their businesses from anywhere. For larger companies we provide customized unified communications solutions to meet their unique needs. At home, we help our customers connect with their loved ones by providing the #1 rated VoIP phone service available. We also provide them with peace of mind through our innovative smart home security solution. At Ooma, all our products and services are priced competitively, because we believe advanced technology should be accessible to all.
About the Role:
Our Infrastructure Services team is responsible for ensuring that the infrastructure backing all production services is highly available, scalable, and operating optimally.
The Principal Infrastructure Engineer is a senior technical leader who operates across both network and systems engineering, driving architecture, reliability, and automation. This role requires someone who can lead at a strategic level, collaborate across teams, and dive deep technically to solve complex problems in production environments.
What You’ll Do:
- Design, build, and evolve infrastructure supporting production services across network and systems domains, ensuring high availability, performance, and scalability
- Drive improvements to reliability, redundancy, and overall service delivery across infrastructure environments
- Serve as a senior escalation point for complex production issues, troubleshooting and resolving critical incidents impacting service availability
- Lead by example through hands-on technical contribution and ownership of challenging infrastructure problems
- Oversee and optimize on-premises network infrastructure, including switching, routing, firewalls, and load balancing, while ensuring security and resilience
- Architect and manage Linux systems, virtualization platforms, and server infrastructure to support stable, high-performing environments
- Lead the development and adoption of automation across network and systems environments, implementing Infrastructure as Code (IaC) to standardize operations
- Reduce manual processes and improve consistency across deployments and operational workflows
- Partner with Engineering, Development, QA, and Application teams to support services and align infrastructure with business and application requirements
- Act as a technical bridge to drive successful delivery of cross-functional initiatives
- Establish and enforce infrastructure best practices and standards while mentoring team members and elevating overall technical capability
- Drive continuous improvement across infrastructure design, operations, and documentation
- Evaluate, design, and implement AI-assisted tooling to improve reliability, performance, and operational efficiency
- Foster the development, implementation, and progression of AI-based tools and software to streamline infrastructural tasks and expedite completion of projects and initiatives.
Experience We’re Looking For:
- 12+ years of experience in infrastructure engineering, including deep expertise in network engineering (routing, switching, firewalls, load balancing) and systems engineering (Linux, virtualization, server hardware), along with a Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience may be considered)
- Proven experience supporting production environments in on-premises datacenters, with a strong focus on reliability and operational stability
- Strong hands-on expertise in Linux administration and performance optimization across complex environments
- Solid understanding of core networking protocols, including BGP, OSPF, and TCP/IP, is essential
- Demonstrated ability to troubleshoot issues across the full infrastructure stack, from hardware through network and systems layers
- Experience implementing automation and Infrastructure as Code using tools such as Terraform, Ansible, or similar is required
- Proficiency in scripting (Python, Bash, or equivalent) to support automation and operational efficiency
- Familiarity with network and systems automation frameworks and modern infrastructure practices
- Ability to operate both strategically and tactically, with a track record of owning and delivering large-scale infrastructure initiatives in fast-paced environments
- Strong collaboration skills, with the ability to work effectively across cross-functional teams and communicate complex technical concepts
- Experience with containerization and orchestration technologies such as Kubernetes and Docker is strongly preferred
- Familiarity with hybrid or cloud environments (AWS, GCP, Azure) would be valuable
- Exposure to monitoring, observability, and capacity planning tools and practices is a plus
- Background in high availability, disaster recovery, and failover design is considered an advantage #LI-CC1
What We Offer:
Working at Ooma means being a team player, while allowing your individual voice to come through. And, you'll receive competitive compensation, benefits and generous company perks.
- Comprehensive Medical/Dental/Vision insurance for you and eligible dependents
- HMO, PPO’s or a PPO with a HDHP (including HSA, which Ooma helps fund)
- Employer Paid Income Protection Benefits (Basic Life and AD&D, Short- and Long-term disability)
- FSA Healthcare & Dependent Care
- Commuter Benefits
- Voluntary Accident, Critical Illness, Hospital Indemnity and Legal
- 401(k), including employer match, and Roth
- Employee Stock Purchase Plan (ESPP)
- Paid Time off, Sick Time, as well as corporate holidays observed
- Employee Assistance Program
- Life Balance benefits with Travel Assistance Services and Identity Theft
- Additional Benefits include a Discount Program, Credit Union, Medicare Assistance, etc.
Ooma is an equal-opportunity employer committed to recruiting, employing, retaining, promoting, and otherwise treating all employees on the basis of merit, qualifications, and competence. We do not discriminate on the basis of any trait or characteristic protected by applicable federal, state, or local laws.
We may utilize AI-enabled tools during the hiring process, including for resume review, scheduling, and interview note-taking or transcription. These tools are used solely to support our hiring team; all employment decisions are made by human reviewers. Where interviews are recorded or transcribed, candidates will be notified in advance and their consent will be obtained.
The base salary range for candidates within the United States is listed below. Actual base pay will depend on a variety of factors such as education, skills, experience, specific location, etc. The base pay range is subject to change and may be modified in the future. Regular employees may also be eligible for bonus(es), sales incentive(s) (target included in OTE) and/or stock in the form of Restricted Stock Units (RSUs).
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Director, Enterprise Architecture (IT)
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Toshiba Global Commerce Solutions is seeking a Director, Enterprise Architecture (IT) that will be the enterprise authority responsible for defining, governing, and reviewing architecture across infrastructure, cloud platforms, networking, security access, applications, and enterprise platforms (including Oracle E‑Business Suite). This role establishes the long‑term architectural direction for TGCS, ensuring that technology platforms are scalable, secure, resilient, and aligned with business strategy.
The position requires deep, hands‑on expertise in Oracle Cloud Infrastructure (OCI), combined with extensive experience in enterprise network architecture, Zero Trust security models, and complex ERP and application platforms. The Director owns architecture standards, reference designs, and formal design review processes, acting as the final architectural escalation point for cross‑domain decisions.
This role is explicitly focused on architecture, governance, and design authority and works closely with Infrastructure Operations, Network Engineering, Cybersecurity, and Application teams to ensure all implementations conform to approved enterprise architecture standards.
Key Responsibilities:
Enterprise Architecture Leadership
- Serve as the enterprise authority for architecture across infrastructure, cloud, networking, applications, ERP, and platform services.
- Define and maintain enterprise architecture principles, standards, reference architectures, and approved design patterns.
- Establish and govern formal architecture review and approval processes for all significant technology initiatives.
- Own and maintain the enterprise architecture roadmap, ensuring alignment with business strategy and long term modernization goals.
- Act as the final architectural escalation point for complex, cross domain design decisions.
- Ensure architectural consistency, resilience, security, and long term technical integrity across all enterprise platforms.
Oracle Cloud Infrastructure (OCI) – Hands On Architecture
- Serve as the authoritative enterprise architect for OCI.
- Design and review OCI tenancy models, compartment strategies, IAM policies, and security zone implementations.
- Define enterprise standards for OCI networking, connectivity, and hybrid integration.
- Architect and review high availability, disaster recovery, and multi region OCI designs.
- Provide architectural oversight for OCI services including Exadata, OCVS, Compute, Storage (ZFS/Object), and hybrid cloud integrations.
- Establish and govern OCI automation and infrastructure as code standards using Terraform, Ansible, and CI/CD pipelines, Network, Connectivity & Zero Trust Architecture
- Own enterprise network architecture standards and lead all network and connectivity design reviews.
- Architect hybrid and global connectivity across on premises environments, OCI, SaaS providers, and external partners.
- Define enterprise patterns for segmentation, routing, resiliency, performance, and availability.
- Define and govern Zero Trust architecture, including identity aware access, least privilege connectivity, and continuous verification.
- Architect and review ZTNA, SSE, and SASE based client access models, including integrations with Cloudflare, Zscaler, or equivalent edge security platforms.
- Establish standards for secure remote user, branch, and third party access using edge based policy enforcement.
Application, ERP & Platform Architecture (Including Oracle E Business Suite)
- Serve as the enterprise architecture authority for application platforms, middleware, and ERP systems.
- Lead architecture and design reviews for Oracle E Business Suite (EBS) environments, including scalability, security, integrations, and lifecycle management.
- Define enterprise standards for application hosting models, platform services, and integration patterns.
- Guide EBS modernization and coexistence strategies, including integration with OCI and other enterprise platforms.
- Ensure application and ERP architectures align with approved enterprise network, cloud, and security standards.
Security, Risk & Governance
- Embed security by design principles across infrastructure, network, application, ERP, and cloud architectures.
- Define and govern enterprise Zero Trust architecture standards aligned to industry frameworks (e.g., NIST, CISA).
- Establish architecture patterns for identity centric access, continuous authentication and authorization, and least privilege enforcement.
- Ensure architectural alignment with ZTNA, SSE, and edge security platforms across user, device, and application access paths.
- Enforce architectural compliance through governance forums and formal design review processes.
Executive Communication & Influence
- Communicate architectural decisions, risks, and trade offs clearly to executive and senior IT leadership.
- Serve as a trusted architectural advisor to technology and business stakeholders.
- Influence outcomes through expertise, governance, and architectural authority rather than direct operational control.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or equivalent experience, with 12 + years of leadership experience in enterprise‑level architecture.
- Deep, hands‑on expertise in Oracle Cloud Infrastructure (OCI), including tenancy design, compartment strategy, IAM, security zones, and multi‑region high‑availability architectures.
- Proven authority in enterprise infrastructure, cloud, networking, security, ERP, and platform architecture, with a track record of defining and governing architecture principles, standards, and reference architectures.
- Advanced experience architecting hybrid cloud environments, OCI service integrations (Exadata, OCVS, Compute, ZFS/Object Storage), and automated infrastructure deployments using Terraform, Ansible, and CI/CD pipelines.
- Expertise in enterprise network architecture, including segmentation, routing, resiliency, global connectivity, and performance optimization across on‑prem, cloud, SaaS, and partner ecosystems.
- Strong proficiency in Zero Trust architecture, including identity‑aware access, least‑privilege enforcement, continuous verification, and implementations using ZTNA, SSE, SASE, and platforms such as Cloudflare or Zscaler.
- Enterprise authority over application, ERP, and platform architecture, including deep experience with Oracle E‑Business Suite (EBS) design reviews, scalability, security frameworks, and modernization strategies.
- Demonstrated ability to embed security‑by‑design principles across infrastructure, cloud, application, and ERP ecosystems, aligned to NIST, CISA, and Zero Trust frameworks.
- Strong governance leadership, including ownership of architecture review processes, compliance enforcement, and long‑term enterprise technology roadmaps.
- Exceptional executive communication skills with the ability to explain complex architectural decisions, risks, and trade‑offs to technical and business leaders, influencing outcomes through expertise and architectural authority.
Toshiba Global Commerce Solutions is a dynamic billion-dollar global company based in Research Triangle Park, NC, providing retail store solutions to your favorite brands. Have you ever been in a hurry and made use of the self-checkout at Lowe's Foods, earned fuel rewards at Kroger, or just paid for purchases at retailers such as Walmart, Michaels, Carrefour, The Gap, Calvin Klein, Boots, Cencosud, BJ's, or Costco? These are just a few examples of our in-store solutions and impressive customer base that made us the world's installed market share leader.
The nature of retail is changing quickly, so if you share our 'Together Commerce' vision of a seamless two-way, participatory shopping experience, let's get together to drive the new economy.
Toshiba Global Commerce Solutions, Inc. offers a competitive salary and generous benefits package including the following:
- Group health coverage (medical, dental, & vision)
- Employee Assistance Programs
- Pre-tax spending accounts
- 401(k) plan (with company match)
- Company provided life insurance
- Pet Insurance
- Employee discounts
- Generous paid holiday schedule, paid vacation & sick/personal days
EEO:
Toshiba Global Commerce Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email benefits@toshibagcs.com to request an accommodation
DIVERSITY, EQUITY & INCLUSION:
We at Toshiba Global Commerce Solutions firmly believe that our people are an integral part to the success of our customers. Furthermore, we're committed to Diversity, Equity, and Inclusion for all our people as highlighted by our 5 Core Principles (Create Outreach, Foster Belonging, Unleash Opportunity, Diverse Cultural Engagement and Culture of Transparency). We're passionate about our customers the retail industry and becoming a more responsible company as we help create a brighter future.
Ready to apply?
Apply to Toshiba Global Commerce Solutions - External
Software Engineer: Infrastructure
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About the role
Thatch is rewiring how health benefits work. We build software that gives employees real control over how they use their benefits.
We’re looking for an Infrastructure Engineer to own the reliability, security, and performance of the platform that powers Thatch. Every product team depends on the infrastructure you design and operate.
Our platform runs in a HIPAA-compliant environment and handles sensitive healthcare data. Reliability and security are foundational. The systems you build must be secure, observable, and resilient under real-world load.
We organize engineering around product teams that serve members, employers, and partners. The Infrastructure team builds and operates the platform that enables them to ship reliably.
What you will do
- Own infrastructure health, performance, and reliability across the stack.
- Make architectural decisions and improve how we build and operate.
- Design and evolve infrastructure using Terraform.
- Improve CI/CD, deployments, and developer workflows so teams ship faster.
- Strengthen security across access controls, vulnerability management, and dependencies.
- Identify and eliminate reliability risks before they impact customers.
What we are looking for
- Experience operating production infrastructure, platform, DevOps, or SRE systems.
- A track record of owning critical systems end-to-end.
- Strong experience with PostgreSQL or comparable relational databases in production.
- Experience managing infrastructure as code using Terraform.
- Sound judgment across reliability, performance, and security tradeoffs.
- A bias toward automation and improving developer productivity.
We hire engineers across multiple levels and care most about the scope you’ve owned, the impact you’ve had, and how you make decisions.
Tools and tech stack
- Ruby on Rails
- PostgreSQL
- Terraform
- Modern cloud infrastructure and CI/CD tooling
You don’t need experience with every tool above. You do need to be able to operate systems responsibly in a regulated environment.
Experience that stands out
- Experience operating in HIPAA or SOC 2 environments.
- Deep PostgreSQL performance tuning or replication management.
- Building internal tooling that improves developer productivity.
- Improving observability, incident response, or overall security posture.
What to expect
We aim to move quickly, and most candidates complete the process within 2–3 weeks. The interview process typically includes:
- An initial conversation with a recruiter.
- A collaborative pair programming session.
- A systems or infrastructure design discussion.
- A conversation with members of the engineering team.
- A final conversation with engineering and company leadership.
About Thatch
We’re a fully distributed early stage company using technology to change the way America does healthcare. We’re a happy, friendly, high-velocity team. You can read more on Thatch here.
Ready to apply?
Apply to Thatch
Senior Software Engineer - Event Sourcing & Stream Processing
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Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.
Your Role:
Tenable is seeking a Senior Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.
We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.
To be considered for this role, you must meet one of the following criteria:
- Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
- Hybrid: Ability to commute to our Boston, MA office.
- Remote: Currently reside in the San Francisco Bay Area, CA
Your Opportunity:
- Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
- Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
- Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
- Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.
What You’ll Need:
- 4+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
- Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
- Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
- To be considered for this role, you must meet one of the following criteria: Hybrid with the ability to commute to our Columbia, MD/Northern VA office, Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA
- Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
- Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
- DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
- Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.
And Ideally:
- Experience with Event Sourcing or CQRS patterns.
- While security background is a plus, we value Big Data/Data Pipeline experience first. If you can process data at scale, we can teach you the security domain.
#LI-LP1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
Ready to apply?
Apply to Tenable, Inc.
Senior Software Engineer
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Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.
Your Role:
Tenable is seeking a Full Stack Software Engineer to join our core product engineering teams. You will help design, develop, and maintain cloud-native, large-scale cybersecurity products that protect organizations worldwide. Our platforms operate in complex, ever-changing environments and demand innovation in scalability, reliability, and performance. As a Software Engineer, you will work across the stack , building microservices, APIs, and user interfaces , leveraging modern frameworks and cloud technologies. Your contributions will directly enable customers to secure their applications, infrastructure, and digital assets at scale.
Your Opportunity:
- Implement new features, fix bugs, and enhance the scalability and reliability of our systems.
- Develop expertise in distributed systems, cloud platforms, and modern UI frameworks while working on real-world security products.
- Work closely with Product Managers, UX designers, and fellow engineers to iteratively improve our products.
- Contribute ideas to improve Tenable’s architecture, development processes, and technology stack.
- Write clean, maintainable code, participate in code reviews, and help drive engineering best practices.
What You’ll Need:
- 2+ years of experience as a Full Stack Software Engineer in SaaS or cloud-based applications.
- Hands-on development experience with Java or Kotlin.
- Proficiency with at least one modern UI framework (React, Angular, or Vue.js).
- Solid understanding of RESTful API development and microservices architectures.
- Familiarity with AWS or other cloud platforms.
- Experience with databases (SQL or NoSQL such as PostgreSQL, DynamoDB, Elasticsearch).
- Exposure to CI/CD pipelines, containerization (Docker/Kubernetes), and Git-based workflows.
- Strong problem-solving skills with a focus on building reliable, performant, and secure applications.
- Good communication skills and a collaborative mindset.
- Passion for continuous learning and keeping up with emerging technologies.
And Ideally:
- Experience with event-driven systems (Kafka, SQS, SNS, etc).
- Familiarity with infrastructure-as-code and observability tools (Terraform, Prometheus, Datadog, ELK, Splunk, PagerDuty).
- Prior experience in cybersecurity, DevSecOps, or related domains.
- Exposure to multi-tenant SaaS or hybrid cloud architectures.
#LI-MS1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
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Apply to Tenable, Inc.
Lead Engineer - DevOps
Experience: 7+ years 10yrs
Location: Bangalore / Coimbatore
Who we are and What we do?
AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents and enable crypto-agility.
Glimpse of our Team
The core of AppViewX lies within its robust, flexible low code platform which is being built by the architecture team. The team designs ready to consume solutions that efficiently orchestrate and meet the scalable demands of our ever-growing customers. If you are someone who would like to develop solutions using cutting-edge technologies like Kubernetes, Containers and Service Mesh and design this low code platform then this is the right place for you!!
What will you be responsible for?
- Collaborate closely with the Product Engineering team to deliver scalable and reliable solutions
- Participate in end-to-end DevOps initiatives, addressing real-world challenges in network operations
- Work effectively with cross-functional teams to plan, estimate, and execute deliverables
- Apply industry-relevant estimation techniques to support project planning and execution
- Demonstrate strong team collaboration and ownership while driving outcomes
- Continuously learn and adopt new technologies to stay current with industry trends
- Leverage network domain expertise (preferred) to enhance solution design and troubleshooting
What do we require?
- Linux/Unix administration (Redhat/Centos preferred)
- Strong coding skills in Python combined with problem-solving skills
- Experience with AWS/Azure/Google Cloud
- In depth knowledge of Docker containers and Kubernetes.
- Hands-on experience with Helm charts and terraform scripting.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Hands on experience with CI and CD tools (Jenkins, Nexus, Gitlab Etc.)
- Experience in working with microservices environments.
- Strong inclination for automation and test-driven development.
- Strong work ethic and ability to own projects/components
What do we desire?
- Experience with anyone of the web development frameworks (Flask/Django/Bottle) and experience with restful APIs.
- Hands-on experience with Configuration Management tools like ansible/puppet
- Experience in VMware/OpenStack/KVM/Proximo platform management is an added advantage
- Knowledge of Istio, Amazon EKS and GKE
- Working knowledge on NoSQL databases (MongoDB)
- Working Knowledge of ELK, Kibana, Grafana and Hashi Corp Vault/Consul.
- Excellent verbal and written communication skills
What brings us together?
What makes us stand out from the rest is the people. The people who push hard every day to be smarter, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can’t wait to see the positive impact it would have on you too!
What’s more in store?
AppViewX is on par with leading global companies when it comes to the benefits it offers its employees, ranging from competitive incentives, health & wellness policies, saving & investment schemes, time off/sabbatical eligibility and dedicated L&D.
What we consider equally important is the flexibility we offer our employees to – work remotely, define their own hours, and more importantly harmonize both work and life. The more trust and accountability we place on our employees, the more they surpass our goals and expectations.
Why AppViewX?
AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our Global footprint to India, North America, United Kingdom and Australia. Today, we are headquarters in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.
AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, , gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.
Ready to apply?
Apply to AppViewX
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.
Responsibilities
Financial Management and Optimization
- Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
- Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
- Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
- Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
- Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.
Tooling, Reporting, and Automation
- Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
- Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
- Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.
Vendor and Contract Management
- Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
- Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
- Monitor vendor performance against contractual agreements and track realization of anticipated savings.
Governance and Education
- Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
- Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
- Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.
Qualifications
Required Skills and Experience
- 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
- Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
- Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
- Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
- Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
- Familiarity with contract negotiation principles and vendor management processes.
- Strong communication skills, with the ability to translate technical cost data into clear business terms.
Desired Qualifications
- FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
- Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
- Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
- Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.
Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
As a Senior DevOps Engineer, you will be a key contributor to our infrastructure strategy, focusing on automation, stability, and performance across both cloud and on-premise environments. You will drive best practices in CI/CD, configuration management, and monitoring, with a specific focus on optimizing the deployment and operation of large language models (LLMs) and related technologies.
Responsibilities
- Design, deploy, and manage highly available, scalable infrastructure using Kubernetes and Docker across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers.
- Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management.
- Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases.
- Administer and troubleshoot operating systems, encompassing both Linux and Windows environments.
- Implement and optimize observability practices using monitoring tools like Datadog for logging, tracing, and alerting.
- Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like LiteLLM, OpenRouter, or similar LLM orchestration/gateway technologies.
- Automate repetitive tasks and system operations using scripting languages, primarily Bash and Python.
- Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards.
- Participate in an on-call rotation to ensure service reliability and responsiveness to incidents.
Qualifications
Required Skills
- 5+ years of professional experience in a DevOps, SRE, or infrastructure engineering role.
- Deep expertise in containerization and orchestration, specifically Kubernetes (design, deployment, and troubleshooting) and Docker.
- Strong proficiency in managing infrastructure in both Cloud (e.g., AWS, GCP, Azure) and On-Premise environments.
- Expert-level administration skills in Linux and strong working knowledge of Windows Server environments.
- Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible).
- High proficiency in scripting and automation using Python and Bash.
- Extensive experience with monitoring and observability platforms, especially Datadog (or comparable tools like Prometheus/Grafana, New Relic).
- Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing LiteLLM, OpenRouter, or setting up and managing LLM serving endpoints.
Nice-to-Have Skills
- Experience with specific Kubernetes distributions (e.g., K3s, Rancher, OpenShift).
- Familiarity with network configuration, firewalls, and security best practices for hybrid environments.
- Experience in MLOps workflows and related tools (e.g., MLflow, Kubeflow).
- Certifications such as CKA, CKAD, or relevant cloud provider certifications.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Sr Staff Engineer, Data Infrastructure
Share this job
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
We are looking for a heavy-hitter to build the "Data Backbone" of our company. You will be responsible for the architecture, scaling, and reliability of the infrastructure that powers our Data Engineering and ML teams. Your goal is to provide a seamless, self-service environment where data scientists can go from a JupyterHub notebook to a massive Ray cluster or Trino query without worrying about the underlying hardware.
Responsibilities
- Data Plane Ownership: Architect and manage the lifecycle of high-throughput data tools including Trino, Ray, and JupyterHub on Kubernetes.
- GitOps & Automation: Drive a "zero-manual-touch" philosophy using ArgoCD and Terraform to manage complex, stateful data environments.
- Observability at Scale: Build high-cardinality monitoring systems using VictoriaMetrics and Vector to track pipeline health, data ingestion rates, and system performance.
- ML Lifecycle Support: Maintain and optimize MLflow for model tracking, ensuring it integrates deeply with our compute and storage layers.
- Engineering Sovereignty: As a self-starter, you will identify performance bottlenecks in data processing and proactively implement infrastructure-level optimizations.
- Reliability: Participate in on-call rotations for the data stack, treating "data downtime" with the same urgency as a site outage.
The Technical Toolkit
|
Focus Area |
Technologies |
|
Orchestration |
Kubernetes Expert (Scheduling, Affinity, Local NVMe, Resource Quotas). |
|
Data Compute |
Deep experience with Trino (Presto) and Ray (Head/Worker patterns). |
|
Stream & Logs |
High-performance routing via Vector and monitoring with VictoriaMetrics. |
|
AI/ML Tooling |
MLflow and JupyterHub (Zero-to-JupyterHub on K8s). |
|
Code & Deploy |
Terraform (Advanced modules) and ArgoCD (ApplicationSets/Blue-Green). |
Qualifications:
- The "Data-Aware" Engineer: You understand that scaling a database or a Ray cluster is different from scaling a stateless API. You know how to handle persistent volumes and data gravity.
- Senior Leadership: You’ve spent time in the trenches. You’ve been on-call for 2:00 AM outages and have built the automation to ensure those outages never happen twice.
- Tooling Polyglot: You don't just use tools; you contribute to them. You are comfortable writing Go or Python to extend Kubernetes Operators or automate data workflows.
- Self-Directed: You thrive in ambiguity. You can take a high-level requirement ("Make Trino faster") and turn it into a multi-week infrastructure roadmap.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,400 - $228,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by $450M from leading investors including Altimeter Capital, Redpoint Ventures, T. Rowe Price, Lightspeed Venture Partners, Alpine Space Ventures, and others – with an additional $500M in signed contracts across commercial and US government customers – we’re mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space.
The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today’s and tomorrow’s massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits.
With multiple launches planned through 2026 and 2027, we're Building Bigger to develop the solar system and become a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a groundbreaking Series C space startup, we’d love for you to apply.
Step into the backbone of our organization — where your decisions keep the lights on, the data flowing, and the business moving. As our Senior IT Systems Engineer, you're not just maintaining infrastructure; you're the architect of an environment that hundreds of people depend on every single day. You'll own mission-critical systems, drive complex projects from whiteboard to production, and set the technical direction for how we scale. Every server you harden, every cloud migration you lead, and every automation script you ship makes the entire organization faster, safer, and more resilient. This is a high-trust, high-impact role for someone who thrives on solving hard problems, raising the bar for the team around them, and building infrastructure that just works — even when everything else is on fire.
Responsibilities
- Architect, deploy, and administer enterprise systems including Windows Server, Linux, Active Directory, DNS, DHCP, and virtualization platforms (VMware / Hyper-V)
- Design and maintain hybrid cloud infrastructure across on-premises and cloud environments (AWS, Azure, or GCP)
- Lead infrastructure projects from planning through deployment, including migrations, upgrades, and new system rollouts
- Monitor system performance and availability; proactively identify and resolve bottlenecks and points of failure
- Develop and enforce IT policies, standards, and best practices across systems and security domains
- Manage backup, disaster recovery, and business continuity solutions; conduct regular testing and documentation
- Collaborate with the security team to harden systems, apply patches, and maintain compliance with frameworks such as NIST 800-171, or CMMC
- Evaluate and onboard new technologies and vendors; provide technical recommendations to leadership
- Serve as a senior escalation point for Tier 3 support issues across infrastructure and systems
- Mentor junior and mid-level IT staff; conduct knowledge sharing and contribute to team documentation
Qualifications
- 7+ years of experience in IT systems engineering or infrastructure roles
- Deep expertise in Windows Server (2016/2019/2022) and Linux (RHEL, Ubuntu, or CentOS) administration
- Strong experience with virtualization technologies (VMware vSphere, Hyper-V)
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)
- Proficiency in scripting and automation using PowerShell, Bash, Python, or similar
- Solid understanding of networking fundamentals: TCP/IP, VLANs, BGP/OSPF, firewalls, and load balancers
- Experience with identity and access management (Active Directory, Azure AD, LDAP, SSO/MFA)
- Familiarity with ITSM tools (Jira Service Management) and ITIL practices
- Strong documentation habits and ability to communicate technical concepts clearly to non-technical stakeholders
Nice to Have
- Experience with Powershell, Python or Bash
- Experience with Identity & Access management principles
- Experience with IaC tools like Terraform, opentofu or ansible
- Fluency with Linux systems
- Experience in supporting cloud environments such as Azure or AWS
Compensation and Benefits:
- Base salary range for this exempt role is $125,000 – $155,000 + equity in the company
- Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
- Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks
If you don’t meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged!
If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.
Export Compliance
As defined in the ITAR, “U.S. Persons” include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a “U.S. Person.”
The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a “U.S. person” as defined by 22 C.F.R. § 120.15 or otherwise eligible for a federally issued export control license.
Equal Opportunity
K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Ready to apply?
Apply to K2 Space
About Vercel:
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.
What You Will Do
- Own end-to-end implementations with enterprise customers, from kickoff through production, working through whatever obstacles come up along the way.
- Understand customer pain points deeply and translate them into concrete product solutions, feeding signal back to engineering and product teams.
- Build internal tools and processes that drive efficiency and scalability across the FDE function.
- Collaborate with cross-functional teams including GTM, product, and core engineering to deliver large-scale projects with cross-team dependencies.
- Run on-site workshops, discovery sessions, and technical enablement with enterprise customers.
- Maintain and operate solutions at high scale, ensuring the highest levels of security and reliability for customer deployments.
- Implement identity synchronization and lifecycle management solutions using SCIM, SSO, SAML, and other enterprise standards.
- Work with Infrastructure as Code (Terraform, AWS CloudFormation, Kubernetes) to deliver scalable, high-availability applications.
- Build and maintain high-quality software using TypeScript, Next.js, React, and REST APIs, including direct contributions to the v0 codebase.
- Be a daily practitioner of AI-assisted development: v0, Cursor, Claude, Codex, and whatever comes next.
About You
Core qualifications:
- Power user of AI coding tools. You use v0, Cursor, Claude, Codex, or equivalent daily and have a current, working understanding of the AI coding landscape: agents, MCP, context management, local vs. remote execution.
- Proficient in Next.js, React, and TypeScript. You're comfortable working directly in a production codebase.
- Experience in a GTM-adjacent engineering role, whether as a Forward Deployed Engineer, Sales Engineer, Solutions Engineer, or similar. You know how to navigate a sales cycle without losing your technical integrity.
- Experience working directly with enterprise customers: running discovery, building trust, re-engaging at-risk accounts, and finding internal champions.
- Willingness to travel to customer sites regularly.
- Strong problem-solving skills and the ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Comfortable working autonomously and making decisions with minimal supervision in a fast-moving environment.
Bonus points:
- Experience with enterprise integration work:
- Accounts: SSO, account provisioning, RBAC configuration and implementation.
- Relationship building: cultivating internal champions, running on-site workshops, re-engaging at-risk customers.
- Security and Legal: translating security requirements, navigating procurement and legal review processes.
- Data chops. Comfortable writing SQL to understand customer health, usage trends, and spot expansion opportunities.
- Familiarity with access control models like RBAC, ABAC, and ReBAC.
- Background in cloud infrastructure and distributed systems (AWS, Kubernetes, Terraform).
- Strong knowledge of security architecture: LDAP, Active Directory, SAML, OAuth2, OpenID Connect.
Benefits
- Competitive compensation package, including equity.
- Inclusive Healthcare Package.
- Learn and Grow: mentorship and access to events that build your network and skills.
- Flexible Time Off.
- Equipment provided, plus a WFH budget to outfit your space.
- Travel covered for customer engagements.
The San Francisco, CA base pay range for this role is $126,000 to $188,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. Total compensation may include equity, a company bonus, or variable pay. Your recruiter can share more details during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
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Apply to VercelAbout Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is searching for an Enterprise Networks Engineer with strong automation skills to design, implement, and optimize enterprise networks in Tel Aviv, including wired, wireless, and VPN infrastructure.
Your responsibilities will include:
- Work on the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability
- Build and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations
- Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements
- Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations
- Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures
- Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams
- Collaborate with telecom service providers in Israel and globally; lead escalations, manage SLAs, and drive service improvements
We expect you to have:
- In-depth knowledge of TCP/IP technologies
- Familiarity with dynamic routing protocols
- Experience in automation using Python, Go, or other popular programming languages (ability to design and maintain production-grade automation)
- Proficiency in Unix system administration
- Hands-on experience with enterprise-grade network hardware (e.g., Cisco, Aruba, Arista, Extreme, Juniper)
- Strong ability to work independently, owning outcomes end-to-end in a senior/lead capacity
It will be an added bonus if you have:
- Experience with network automation frameworks like Ansible, Terraform, NetBox, Nornir, or SaltStack
- Experience designing, developing, and operating high-load distributed systems
- Experience building high-density enterprise wireless networks (CWNA level or higher)
- Working knowledge of IPv6
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The Role
SoFi is launching a brand-new commercial banking product — and we need a Staff Software Engineer to be its technical backbone.
Commercial Banking is SoFi's entry into institutional commercial banking. We're building the infrastructure that lets large institutional clients in crypto, fintech, and enterprise finance manage their money at SoFi — real-time payments, multi-account treasury management, and a closed-loop settlement network that operates 24/7/365. The systems you design will handle real institutional money from day one. The network you help architect — SEN (SoFi Exchange Network) — could become the default settlement rail for the industry.
As the Senior Staff Engineer on the Commercial Banking team, you'll be the technical leader the team looks to for the hardest problems — system design, API contracts, payment correctness, performance, and reliability. You'll set the technical bar, make architectural decisions that stick, and write the code that proves them out. This is a hands-on role: you'll be deep in the codebase while also shaping the direction for the engineers around you.
What You'll Do
Architect and Build
- Own the technical architecture for Commercial Banking's core systems — payment orchestration, client onboarding workflows, API Gateway, real-time settlement, and the services that power the client-facing experience.
- Design and implement the SoFi Exchange Network (SEN) — a real-time, 24/7/365 closed-loop payment network enabling instant settlement between SoFi commercial clients.
- Build the client onboarding orchestrator: a stateful workflow engine that provisions entities, bank accounts, entitlements, payment rails, limits, and pricing — with retry, rollback, and idempotency guarantees.
- Design enterprise-grade identity, RBAC, and maker/checker approval systems that support complex organizational structures with scoped account access, per-rail permissions, and configurable payment limits.
- Define API contracts that institutional clients will integrate against — getting the abstractions, error models, and versioning right from day one.
- Architect a sandbox environment that realistically simulates every payment rail, enabling clients to build and test their integrations with confidence.
Set the Technical Standard
- Establish system design patterns, coding standards, and engineering best practices for the Commercial Banking codebase.
- Drive technical decisions on data modeling, service boundaries, consistency guarantees, and failure handling across payment workflows where correctness is non-negotiable.
- Own observability strategy — structured logging, distributed tracing, alerting, and dashboards that give the team confidence in production.
- Lead technical design reviews and code reviews. Raise the quality bar and make it stick through example, not just feedback.
- Identify and address technical debt proactively — knowing when to take shortcuts for speed and when to invest in the right long-term solution.
Lead Through Influence
- Be the go-to technical leader on the team — the person engineers come to when they're stuck on a design problem, a performance issue, or a tricky integration.
- Mentor engineers at all levels. Help senior engineers grow toward staff-level thinking; help mid-level engineers develop stronger system design instincts.
- Partner with engineering management to shape the technical roadmap, estimate complexity, and sequence work for maximum impact.
- Drive cross-team technical alignment with other engineering teams at SoFi — working across identity, entitlements, accounts, payments, and core banking systems to ensure clean integration points.
- Represent the team's technical perspective in discussions with Product, Compliance, Risk, and Operations — translating business requirements into sound engineering decisions.
Make It Production-Ready
- Design systems that handle real money with the reliability and correctness that institutional clients demand — every transaction must be accounted for, every failure mode handled.
- Build for scale from day one — systems that work for early clients but are architected to support hundreds without rework.
- Own the technical side of client go-live: integration health checks, performance validation, monitoring readiness, and production cutover.
- Drive incident response and post-mortems. Build a culture where production issues are learning opportunities, not blame events.
What You'll Need
- 7+ years of software engineering experience, with a sustained track record of technical leadership on complex, production-critical systems.
- Deep distributed systems expertise — you can design services end-to-end, reason about consistency and ordering guarantees, and make pragmatic tradeoffs between correctness, availability, and latency.
- Hands-on mastery of JVM-based stacks (Kotlin or Java, Spring Boot) and modern infrastructure (Kubernetes, AWS/GCP, Terraform, CI/CD pipelines).
- Strong API design sensibility — you've designed APIs that external consumers depend on, and you understand the long-term cost of getting contracts wrong.
- Experience with stateful workflow systems — you've built or operated long-running, retryable, idempotent workflows in production.
- Proven ability to lead without authority — you influence technical direction through the quality of your ideas, your code, and your ability to bring people along.
- Excellent communication skills — you can write clear technical design documents, explain complex systems to non-technical stakeholders, and make your reasoning legible to the team.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
Nice to Have
- Experience building financial systems — payments, ledger, treasury, banking, or fintech where auditability, correctness, and regulatory compliance are table stakes.
- Experience building real-time payment systems (FedWire, FedNow, RTP, ACH origination) or settlement networks.
- Background in commercial or institutional banking (treasury management, FBO/omnibus accounts, correspondent banking).
- Experience with crypto-adjacent financial infrastructure — custodian banking, exchange settlement, stablecoin operations.
- Familiarity with AML/KYB compliance workflows and transaction monitoring in a regulated banking environment.
- Experience building developer-facing products — API gateways, developer portals, sandbox environments, webhook infrastructure.
- Prior work with workflow orchestration engines (Temporal, Cadence, Step Functions) for long-running stateful processes.
- Experience with event-driven architectures — Kafka, event sourcing, or CQRS patterns in high-throughput systems.
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Ready to apply?
Apply to SoFi
POSITION SUMMARY:
Join Natera’s Therapeutics & Innovations group as a Senior Agentic Systems Engineer to build Artificial Intelligence (AI) orchestration platforms. You will design, scale, and deploy generative AI (GenAI) and Large Language Model (LLM) agentic systems that leverage our multimodal data to advance therapeutic development. Every sample and data point represents a real person, and the data foundations you build will directly support clinical insights and scientific innovation. As the platform matures, you will own cross-product agent integration and the development of new specialist tools.
PRIMARY RESPONSIBILITIES:
- Architect, implement, and maintain AI agent orchestration platforms, spanning multi-agent delegation, session management, and streaming interfaces
- Design and build Model Context Protocol (MCP) servers that expose domain-specific capabilities as composable tools
- Implement rigorous security and isolation boundaries, including sandboxed code execution, scoped permissions, Human-in-the-Loop (HITL) workflows, and tenant-aware data access
- Deploy and operate containerized services on AWS using Terraform, optimizing for cost, reliability, and observability based on data
- Think team by partnering directly with ML engineers, data engineers, and product teams to integrate specialist agents without needing translation layers
- Own and advance technical solutions from concept to deployment, pressure-testing assumptions and closing gaps without waiting for a finished playbook
- Use data to root-cause and resolve complex issues across agent orchestration, infrastructure, and LLM providers in a distributed environment
- Write precise, tested Python code, treating quality and reliability as foundational standards rather than an afterthought
QUALIFICATIONS:
- BS/MS in Computer Science or a related field
- 5+ years of production software engineering experience, with a significant focus on backend systems, platform engineering, or infrastructure
KNOWLEDGE, SKILLS, AND ABILITIES:
- Advanced proficiency in Python, writing maintainable, production-quality code
- Direct experience building AI agentic systems in production, including tool calling, multi-agent orchestration, or autonomous task execution
- Deep familiarity with the generative AI ecosystem, including Large Language Models (LLM), orchestration frameworks, MCP, memory strategies, and execution sandboxing
- Hands-on experience with AWS cloud infrastructure, containerized services, and Infrastructure as Code (Terraform)
- Clear understanding of security and isolation in environments where AI agents execute code or access sensitive, regulated data
- Ability to articulate technical tradeoffs clearly to cross-functional stakeholders using data
- Operate with a 'build vs. buy' mindset to scale capabilities rapidly without compromising on precision
- Background in biotech, healthcare, or regulated multi-tenant data environments is preferred
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.
WHAT WE OFFER
Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!
For more information, visit www.natera.com.
Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.
All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.
If you are based in California, we encourage you to read this important information for California residents.
Link: https://www.natera.com/notice-of-data-collection-california-residents/
Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.
For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page
Ready to apply?
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Senior Software Engineer, Trust and Safety Engineering
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WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Software Engineers on the Trust and Safety Engineering team play a critical role in protecting Box, its platform, and its customers from abuse, fraud, and malicious actors. This role is ideal for an engineer who combines strong software development fundamentals with a deep interest in security, threat mitigation, and building resilient systems at scale. The team partners closely with security, product, and engineering organizations across Box to design and deliver solutions that strengthen the company’s defenses while preserving a seamless customer experience. Much of this work is highly visible and directly customer-facing, shaping how users experience safety, reliability, and trust across the product. The systems built by this team have significant impact, and performance is essential because latency matters in delivering protections that are both effective and seamless. Work in this area spans a wide range of disciplines, including building and operating containerized microservices in a Kubernetes-based environment, developing behavioral detection systems and machine learning models to identify suspicious activity, tuning rate limiters and other mitigation controls across the Box stack, and delivering product security features that proactively reduce risk. This is an opportunity to make a direct impact by building intelligent, scalable systems that help Box stay ahead of evolving threats.
WHAT YOU'LL DO
- Design, build, and continuously improve security systems that protect Box, its platform, and its customers from abuse, fraud, malicious actors, and insider threats.
- Develop scalable APIs and backend services that detect, prevent, and disrupt abuse campaigns across Box’s microservice infrastructure.
- Build behavioral detection systems and near-real-time mitigation workflows to identify suspicious usage patterns, risky traffic, and emerging attack techniques.
- Apply analytics and machine learning approaches to model malicious behavior, improve detection accuracy, and reduce false positives.
- Strengthen platform defenses through rate limiting, automated enforcement, and other mitigation controls that balance security with customer experience.
- Build resilient, containerized microservices in distributed environments that support high-volume trust and safety protections at scale.
- Partner closely with security, product, and engineering teams to translate threat trends into durable product and platform safeguards.
- Contribute to Box’s broader technical security strategy by identifying systemic risks, proposing defenses, and improving security engineering practices.
- Proactively evaluate evolving abuse and fraud patterns to help Box stay ahead of new threats with intelligent, scalable protections.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
- 6+ years of professional software development experience in one or more of the following languages: Java, Python, PHP, or Scala
- Experience building containerized microservices in large-scale, distributed environments
- Preferred qualifications include experience with machine learning models, large-scale datasets, Java Spring/Spring Boot, Terraform-based public cloud infrastructure, and trust and safety, abuse, or fraud mitigation systems
- Strong interpersonal, communication, and reporting skills
- Strong analytical, system design, engineering, planning, and problem-solving skills
- Bachelor’s degree in Computer Science or equivalent practical experience
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided here.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided here.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.
Ready to apply?
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Senior AI Platform Engineer, Atlas AI
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What Cognite is: Relentless to achieve
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
We are seeking an AI Platform Engineer to join the Cognite Atlas AI Product team in Phoenix, AZ, to engineer, build, and operate the production-grade, multi-cloud platform that enables our internal and partner teams to build, deploy, and manage industrial AI agents. You will be responsible for creating the core services, frameworks, and infrastructure for our "agent builder workbench" and agent runtime, focusing on scalability, reliability, cost-efficiency, and security. Your work will directly impact industrial efficiency and sustainability, which is critical to our mission of powering a high-tech, sustainable, and profitable industrial future.
The Impact you bring to Cognite
- Design, build, and maintain the core Python SDKs and services for the Atlas AI platform. Create clean abstractions that empower Solution Engineers to easily define and test agents and workflows.
- Build the core agentic runtime, ensuring it is scalable, meets its SLOs, and can reliably manage the state, orchestration, and execution of industrial agents.
- Develop a robust, governed, and secure framework for AI agent tool-use. Engineer the platform components that allow solution engineers to safely add new tools (e.g., API calls, database queries) and that manage the secure execution, monitoring, and access control for those tools.
- Manage the LLM serving layer, including deploying and optimizing models for low-latency/high-throughput inference. Build and maintain model routing logic to select the most appropriate model (e.g., performance vs. cost) for a given task.
- Implement evaluation and observability for all AI services. Create standardized frameworks for systematically evaluating the performance, accuracy, cost, and safety of LLMs and agentic workflows. Drive the implementation of robust, automated testing strategies for LLM-based systems.
- Own the full development lifecycle for services in a production SaaS environment. This includes establishing automated code coverage goals, rigorous code reviews, defining SLOs, participating in on-call rotations, and ensuring a fast and effective incident response process.
- Work closely with the Lead Architect to translate the technical vision into implemented, production-grade services. Act as a key partner for the Solution Engineers (your internal customers) to understand their needs and abstract common patterns into reusable, robust platform components.
- Stay up to date on the latest developments in the field, and mentor junior developers.
Required Qualifications
- Bachelor's or Master’s degree in Computer Science or a related field, or equivalent practical experience.
- 8+ years of professional experience in backend software engineering, platform engineering, or MLOps, with a proven track record of architecting and operating complex systems at scale.
- 2+ years of hands-on experience building applications or platforms on top of AI/ML models or LLMs.
- Expert-level proficiency in Python and a strong background in software architecture, robust API design, and building maintainable, well-documented SDKs for other developers.
- Hands-on experience with Kubernetes (K8s) and building services on managed PaaS in a multi-cloud environment (AWS, Azure, GCP). Strong understanding of Infrastructure as Code (e.g., Terraform).
- Proven experience building and operating production-grade SaaS software. Understanding of the full development life cycle, including CI/CD, monitoring, telemetry, and on-call incident response.
- Practical experience with LLM orchestration frameworks (Bedrock, Vertex, Semantic Kernel, LangChain).
- Strong verbal and written communication skills, with the ability to articulate complex technical designs and decisions clearly.
Preferred Experience
- Hands-on experience deploying and managing LLMs in production using high-performance serving frameworks.
- Experience with MLOps/LLMOps tools for tracing, monitoring, and evaluating LLM applications (LangSmith, Arize, Phoenix, or equivalent).
- Experience with RAG Infrastructure, embedding generation pipelines, vector database integrations, and high-performance vector similarity search APIs.
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Ready to apply?
Apply to Cognite - AI for Industry
Senior Software Engineer II AI-Native, Messaging
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About Life360
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.
Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
We are AI Native
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
About the Team
The Messaging team owns the backbone of Life360's real-time infrastructure — the event streaming and data pipelines that keep millions of families connected. We process billions of events every day across location updates, safety alerts, and the push notifications that make the product feel instant.
We are a small, platform-focused, AI-native team. AI isn't a productivity add-on here — it's how we work. Every engineer on the team directs AI agents as a core part of their daily loop: scaffolding services, drafting Terraform, exploring unfamiliar codebases, writing migration scripts, and reviewing diffs. We move faster and go deeper on hard distributed systems problems because we've built the habits, prompts, and guardrails to make agentic work reliable.
Current initiatives include the MSK-to-Confluent Cloud migration, organization-wide schema registry and Protobuf governance, and the next generation of Life360's streaming services. Our stack is Kafka and Kafka Streams, Spring Boot (Java 21), Go, Protobuf/gRPC, Terraform, and AWS.
About the Job
This is a hands-on senior engineering role for someone who has already made AI a first-class collaborator in their work. You'll design streaming services, write and review code, own production incidents, and ship infrastructure — and you'll do all of it with agents running in parallel alongside you. We're looking for an engineer who already decomposes work into agentic workflows, critiques agent output with real technical authority, and ships production code faster because of it.
You'll help shape the team's technical direction on Kafka-first streaming infrastructure and the next phase of our high-availability roadmap. You'll also help evolve how the team itself works with AI — the prompts, the evals, the review patterns, the escape hatches when agents go sideways.
What You'll Do
- Design, build, and operate streaming services on Kafka, Spring Boot, and Spring Cloud Stream — directing agents to scaffold, test, and iterate, and owning the outcome end-to-end.
- Develop and manage Kafka connectors for data integration (DynamoDB, S3, NSQ, custom sinks/sources) and the SMT chains that keep them honest.
- Own schema management and evolution across Protobuf, Schema Registry, and multi-language code generation — including the Gradle/Nexus publishing pipelines that back it.
- Drive platform migrations (MSK → Confluent Cloud, NSQ → Kafka) including dual-cluster consumer patterns, VPC peering, and cutover playbooks.
- Build monitoring, alerting, and operational tooling (DataDog, PagerDuty, Prometheus) that catch problems before pages fire.
- Write infrastructure as code in Terraform, ship it through CI/CD, and participate in the on-call rotation and incident response for the services you own.
- Work AI-natively as the default mode of operation. Run multiple agents in parallel. Write prompts with real context and constraints. Review every diff like you wrote it yourself. Know when to throw the agent's output out and do it by hand.
- Evolve the team's AI-native practices — prompt libraries, evals, review rituals, and the guardrails that make all of it safe at production scale.
- Mentor teammates, raise the bar on technical standards, and contribute to the team's API design, data contracts, and integration patterns.
Compensation
For candidates based in the US, the salary range for this position is $148,000 to $216,500 USD. For candidates based out of Canada, the salary range is 171,500 to $201,000 CAD.
Note: We take into consideration an individual's background and experience in determining final salary — therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
What We're Looking For
Technical foundation
- 6+ years of backend software engineering experience.
- Strong proficiency with Java and Spring Boot — this is our primary stack and you should be comfortable reading, writing, and debugging it without assistance.
- Production experience with Apache Kafka or a comparable distributed streaming platform (Pulsar, Kinesis, Pub/Sub).
- Solid grounding in distributed systems concepts: consistency, fault tolerance, replication, delivery semantics, and data durability tradeoffs.
- Comfortable with AWS (or equivalent cloud) and containerized deployments on Kubernetes.
- Hands-on experience with Terraform or comparable IaC for real, multi-environment infrastructure.
AI-native working style
Specifically, we're looking for:
- Prompting excellence — you give agents context, constraints, and expected outcomes. You don't type "do X" and hope.
- Critical validation — you can explain every line the agent wrote, identify where it succeeded and where it fell short, and correct it. You treat AI output as a draft from a smart junior, not an oracle.
- Agentic decomposition — you break ambiguous problems into discrete, verifiable sub-tasks that an agent can actually execute, rather than handing it a blob of intent.
- Parallel workstreams — you run multiple agents or sessions concurrently on independent tasks instead of hand-holding one at a time.
- Troubleshooting with AI, not around it — when an agent hallucinates an API, suggests a deprecated library, or produces code that compiles but is wrong, you diagnose and recover. The interview is designed so things will go wrong; how you get unstuck is a signal.
- Technical authority — you understand the underlying tech (Kafka internals, Protobuf wire format, JDBC, SASL_SSL auth, partitioning semantics) well enough to catch the agent when it's confidently wrong.
What matters most to us
- Problem-solving mindset — you structure ambiguous problems precisely before reaching for a tool, AI or otherwise.
- Ownership — you take a feature from design through production and through the 3 a.m. page that follows.
- Direct, respectful communication — you can explain technical tradeoffs clearly, push back when you disagree, and change your mind when the evidence changes.
- Collaborative — you work well across teams and value perspectives that aren't your own.
Nice-to-have
- Go experience (we use it for CLI tools and some services).
- gRPC and Protocol Buffers in production, including schema evolution strategies.
- Stream processing frameworks — Kafka Streams, Flink (SQL or DataStream).
- Confluent Platform or Confluent Cloud specifics (Schema Registry, Connect, ksqlDB, Stream Governance).
- CI/CD with GitHub Actions, artifact management (Maven, Nexus).
- Observability tooling — DataDog, Prometheus, Grafana.
- Prior experience on large-scale platform migrations or infrastructure modernization programs.
- Building or running evals for LLM-based workflows, prompt libraries, or agent tooling at your current or previous team.
Our Benefits
- Competitive pay and benefits.
- Medical, dental, vision, life and disability insurance plans (100% paid for US employees). Supplemental medical and dental plans for Canadian employees.
- 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
- Employee Assistance Program (EAP) for mental wellness.
- Flexible PTO and 12 company-wide days off throughout the year.
- Learning & Development programs.
- Equipment, tools, and reimbursement support for a productive remote environment.
- Free Life360 Platinum Membership for your preferred circle.
Life360 Values
Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference:
- Be a Good Person — We have a team of high-integrity people you can trust.
- Be Direct With Respect — We communicate directly, even when it's hard.
- Members Before Metrics — We focus on building an exceptional experience for families.
- High Intensity High Impact — We do whatever it takes to get the job done.
Our Commitment to Diversity
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying!
Ready to apply?
Apply to Life360
Finance Staff Data Engineer, AI Native
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About Life360
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries.
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.
Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
We are AI Native
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
About The Team
The Finance Data Team sits at the intersection of Finance & Accounting teams and Life360’s data. We provide the data ingestion / processing / reporting / egress needed by our partner teams in Finance & Accounting to enable their work and ensure SOX compliance with rigor. We push the envelope on how work is done through implementation of AI tools and capabilities to enhance our own pace of development and capabilities that we deliver to our stakeholders.
We are hiring a bar-raising Staff Data Engineer to drive our ingress / egress capabilities and build cross-cutting capabilities to drive developer experience and security. This role requires someone who can step into ambiguity, make sound architectural decisions, eliminate operational fragility, and establish an engineering discipline that others adopt.
You will serve as a technical reference point - shaping standards, influencing cross-team architecture, and driving initiatives to clear, production-ready outcomes. We value engineers who are direct, collaborative, and proactive in surfacing risks early, while helping build a team culture where high standards and psychological safety coexist.
About the Job
The Life360 Finance Data Team works as the integrator for numerous systems - bringing data into the Finance Data Warehouse, transforming it, and pushing it to its relevant destinations (reporting, data asset deliverables, tools, etc). To support our role we are continuously building and enhancing our system - adding new data, new transformations, and new tooling to improve developer velocity and ‘buy down’ overhead costs associated with maintaining our system.
As a Staff Data Engineer you will drive forward the:
- Data ingestion suite - a mix of capabilities ranging from Fivetran to completely custom connectors that bring data into our warehouse and monitor for data quality.
- Data transformation suite - enhancing our dbt environment (dbt core) and the suite of tools that we leverage to build data models, semantic models, and other interfaces.
- Data egress suite - a mix of capabilities that allow us to push data to its end destinations.
- CI/CD pipelines and other tools / capabilities to enhance the developer experience and velocity.
- Infrastructure and networking behind our warehouse and related connectors.
- Databricks configuration and capabilities.
- Security posture and access controls.
The ideal candidate:
- They have spent years building out data platforms / infrastructure as well as creating ingress / egress data frameworks that are used in pipelines. They have tackled numerous challenges and found novel solutions to problems for data ingestion, processing, and egress.
- They have learned how to leverage LLMs for development velocity and analytics - not just asking it to write the code but leveraging the tools to support their development under clear guidance and accepts ownership of the work produced as their own.
- They have learned to think about scalability / velocity / experience of future development and not just shipping the current project.
- They are part software engineer, part data integration engineer, and part data platform engineer.
- They adhere to the controls / procedures / separation of duties necessary to maintain our SOX compliance.
We are looking for someone with strong engineering depth who demonstrates ownership, decisiveness, and the ability to elevate both the system and the team around them.
For candidates based in the US, the salary range for this position is $190,000 to $280,500 USD. For candidates based out of Canada, the salary range for this position is $220,000 to $260,000 CAD. We take into consideration an individual's background and experience in determining final salary; therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.
AI / LLM Usage
The Finance Data Team leverages LLM’s to support code generation, analysis, and other use cases.
- Cursor / Claude Code.
- Other tools (Wispr Flow, Claude & Claude Cowork, Gemini / Codex).
Your experience with AI / LLM usage should include managing code generation with a close eye on quality, standards, and testing - owning the outputs as your own. Your work with and ability to leverage these tools will drive your velocity and ability to effectively work within our environment.
What You’ll Do
- Architect and evolve scalable data ingestion and egress frameworks and pipelines that are well tested and offer strong data quality monitoring.
- Architect and evolve our CI/CD processes - enhancing the testing environment and observability (such as building LLM-driven reviews with context awareness through data diffing, lineage analysis / downstream impact analysis, and general context).
- Architect delivery architecture of data assets to external team partners to reduce manual operational overhead associated with month end close.
- Enhance our Claude Code / LLM development support capabilities - creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems.
- Enhance our security posture in our AWS / Databricks environment.
- Design and implement distributed data processing systems using Spark and Databricks on AWS.
- Establish clear ingestion and integration boundaries that eliminate single points of failure.
- Proactively surface risks, dependencies, and tradeoffs before they impact delivery.
- Produce clear technical artifacts and recommendations for stakeholders and leadership.
- Design logical and physical data models balancing flexibility, performance, governance, and scalability.
- Partner closely with the Analytics Engineers on the Finance Data Team to support high-quality downstream data modeling & reporting.
- Harden pipelines with monitoring, alerting, SLAs, and recovery mechanisms.
- Mentor engineers and elevate distributed systems rigor across the team.
What We’re Looking For
- 8+ years designing and operating high-volume distributed data systems in production.
- Deep expertise with a cloud data platform (Databricks strongly preferred) and AWS from an infrastructure / services architecture, deployment, and ownership perspective.
- Strong proficiency in Python, SQL, and Spark for large-scale processing.
- Strong proficiency with modern CI/CD practices (creating GitHub Actions, writing Terraform code to manage infrastructure in Databricks / Airflow / AWS / and others).
- Hands-on experience with dbt from an infrastructure / deployment perspective and understanding of how platform decisions impact downstream modeling.
- Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization.
- Experience with Airflow and data flow orchestration.
- Experience with networking challenges in data ingestion (e.g., VPC peering, firewall traversal, API rate limiting, cross-AWS account access, etc.)
- Able to effectively leverage / oversee LLM-supported code development while maintaining a high quality bar.
- Demonstrated experience with AI tools to support / enhance development - Claude Code, Cursor, etc.
- Demonstrated ability to independently scope ambiguous problems and drive them to decisive outcomes.
- Track record of proactively escalating risks and closing long-running efforts with clear recommendations.
- Experience defining ingestion validation standards and implementing data quality controls.
- Proven ability to reduce operational fragility and eliminate single points of failure.
- Strong systems design skills across distributed and event-based architectures.
- Demonstrated technical leadership influencing cross-team architectural decisions.
- Excellent communication skills across engineering, analytics, product, and executive stakeholders.
- BS in Computer Science, Engineering, Mathematics, or equivalent experience.
Our Benefits
- Competitive pay and benefits.
- Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
- 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
- Employee Assistance Program (EAP) for mental wellness.
- Flexible PTO and 12 company wide days off throughout the year.
- Learning & Development programs.
- Equipment, tools, and reimbursement support for a productive remote environment.
- Free Life360 Platinum Membership for your preferred circle.
Life360 Values
Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference
- Be a Good Person - We have a team of high-integrity people you can trust.
- Be Direct With Respect - We communicate directly, even when it’s hard.
- Members Before Metrics - We focus on building an exceptional experience for families.
- High Intensity, High Impact - We do whatever it takes to get the job done.
Our Commitment to Diversity
We believe that different ideas, perspectives, and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences creates a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the qualifications above, you should still seriously consider applying!
#LI-Remote
____________________________________________________________________________
Ready to apply?
Apply to Life360
Senior GCP Cloud Engineer
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LightFeather is seeking a Senior GCP Cloud Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.
This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.
- Location: In-Person (5 days/week) in Washington, DC
- Job Type: Full Time
- Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance
- Design, implement, and manage secure and scalable cloud infrastructure using GCP.
- Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
- Support CI/CD pipeline automation, integration, and management.
- Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
- Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
- Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
- Provide documentation and knowledge sharing with the broader engineering team.
Required Qualifications
- Willing to obtain a security clearance.
- 4+ years of experience in cloud engineering, with at least 2 years on GCP.
- Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
- Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
- Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
- Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
- Experience working in an Agile/Scrum environment.
Preferred Skills
- GCP Professional Cloud Architect or DevOps Engineer certification.
- Experience supporting federal government contracts and understanding of ATO processes.
- Familiarity with other cloud platforms (AWS, Azure) is a plus.
- Scripting skills in Python, Bash, or Go.
Why Join LightFeather?
At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.
LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.
Ready to apply?
Apply to LIGHTFEATHER IO LLC
Lead GCP Cloud Engineer
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LightFeather is seeking a Lead GCP Cloud Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.
This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.
- Location: In-Person (5 days/week) in Washington, DC
- Job Type: Full Time
- Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance
- Design, implement, and manage secure and scalable cloud infrastructure using GCP.
- Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
- Support CI/CD pipeline automation, integration, and management.
- Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
- Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
- Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
- Provide documentation and knowledge sharing with the broader engineering team.
Required Qualifications
- Willing to obtain a security clearance.
- 4+ years of experience in cloud engineering, with at least 2 years on GCP.
- Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
- Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
- Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
- Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
- Experience working in an Agile/Scrum environment.
Preferred Skills
- GCP Professional Cloud Architect or DevOps Engineer certification.
- Experience supporting federal government contracts and understanding of ATO processes.
- Familiarity with other cloud platforms (AWS, Azure) is a plus.
- Scripting skills in Python, Bash, or Go.
Why Join LightFeather?
At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.
LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.
Ready to apply?
Apply to LIGHTFEATHER IO LLC
Senior Software Engineer, Storage Infrastructure
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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto
About the Department
Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.
About the Team
ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.
You’ll be joining a highly motivated team that is building the next generation of distributed storage services.
What You’ll Do
In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.
Examples of desirable skills, knowledge, and experience
- Strong programming skills with languages like Rust, Go, or Python
- A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
- Experience with distributed databases and storage systems
- Experience with infrastructure configuration tooling and infrastructure as code
- Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
- Experience building and maintaining high-throughput, low-latency systems
- Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
- Strong written and verbal communication skills and ability to explain technical decisions clearly
- Comfortable operating in fast-paced environments with tight deadlines and evolving priorities
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
- Medical/Rx Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Accounts
- Commuter Spending Accounts
- Fertility & Family Forming Benefits
- On-demand mental health support and Employee Assistance Program
- Global Travel Medical Insurance
Financial Benefits
- Short and Long Term Disability Insurance
- Life & Accident Insurance
- 401(k) Retirement Savings Plan
- Employee Stock Participation Plan
Time Off
- Flexible paid time off covering vacation and sick leave
- Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Ready to apply?
Apply to Cloudflare