About the Team

Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform team is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Software Engineer, Content Platform who can drive further innovation.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our capabilities.

We are seeking a highly experienced and skilled Senior Software Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that handle large-scale data effectively. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, as well as a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better.

For California Only - The estimated annual salary for this position is between $300,000 - $425,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.  This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

Design and Development:

• Architect, develop, and maintain scalable backend systems and APIs using Java and Akka.
• Build distributed data pipelines for batch and real-time data processing.
• Design efficient and scalable systems that process large volumes of data.

Big Data Expertise:

• Leverage big data technologies such as, Apache Spark, Kafka, Flink, and related tools to build high-performance data pipelines.
• Work on data transformation, ingestion, and integration for both structured and unstructured data.
• Implement solutions for data lake and data warehouse integrations.

Real-Time Processing:

• Develop and maintain real-time data processing applications to support business-critical use cases.
• Optimize real-time data flows for low latency and high throughput.

Java Expertise:

• Write clean, efficient, and reusable code in Java, adhering to industry best practices.
• Optimize Java applications for performance, scalability, and reliability.
• Leverage Java frameworks such as Spring Boot for backend development.

Monitoring and Optimization:

• Monitor, troubleshoot, and optimize backend and data systems to ensure high availability and reliability.
• Design and implement performance tuning strategies for large-scale distributed systems.

We're excited if you have

• 7+ years of experience in backend development and distributed data processing.
• Proven expertise in designing and building scalable systems with Java.
• Hands-on experience with Big Data technologies such as Spark, Kafka, and Flink.
• Proficiency in Java and Java-based frameworks (Spring, Spring Boot, etc.).
• Strong understanding of distributed systems and microservices architecture.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of SQL and NoSQL databases (e.g., DynamoDB, or Aerospike).

#LI-JC5

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences.

About the role

We are seeking a highly experienced and skilled Lead Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that effectively handle large-scale data. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, and a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better and help drive innovation.

For California Only - The estimated annual base salary for this position is between $300,000 - $360,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

• Define architecture and technical strategy, ensuring scalability, reliability, and performance at scale
• Provide technical guidance, conduct code reviews, and mentor engineers to elevate team capabilities and foster engineering excellence
• Design and implement robust distributed systems, streaming solutions, content management systems, APIs, and data pipelines that handle high-volume content operations
• Partner with Product, Operations, Business, and other engineering teams to deliver integrated solutions
• Remain significantly hands-on with critical features and architectural components
• Drive technical planning, prioritization, and execution aligned with business objectives
• Act as a key technical partner to the Engineering Manager in driving team success and technical decisions
• Champion a culture of innovation, technical excellence, and continuous. improvement; establish engineering best practices
• Lead efforts in monitoring, observability, performance optimization, and production reliability at scale

We're excited if you have

• 10+ years of software engineering experience with significant time in technical leadership roles
• Proven expertise in building scalable, distributed, and streaming solutions in production environments
• Deep experience with content management systems, media processing, or publishing platforms
• Expert-level proficiency in Java or Scala required; Python experience is a strong plus
• Strong expertise in distributed systems architecture, microservices, and event-driven architectures
• Deep understanding of streaming technologies (Kafka, Redpanda, or similar
• Advanced knowledge of databases (SQL/NoSQL), vector databases (eg, Milvus), caching strategies, and data modeling at scale
• Track record of leading complex technical projects from conception to production in high-scale environments
• Excellent communication skills and ability to influence technical decisions across teams and organizations
• Experience with cloud platforms (AWS, GCP, or Azure) at enterprise scale
• Extensive experience with containerization and orchestration (Docker, Kubernetes
• Experience with search technologies (Elasticsearch, Solr, etc) or recommendation systems

#LI-SB-5

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.

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.

Role

We are looking for a Sr Staff Software Development Engineer to join our ZPA datapath team. This is a hybrid role based in San Jose (3 days in office), reporting to the Director, Engineering. As a core technical expert, you will drive the design, development, and optimization of critical network applications and protocols. You will leverage your deep expertise in C/C++ and Linux to build scalable, high-performance network solutions that secure and streamline enterprise data across cloud environments.

What you’ll do (Role Expectations)

• Develop and optimize network applications and protocols using C/C++
• Design efficient data structures for network data processing and handle system-level programming in Linux environments
• Analyze network performance to identify issues and implement optimization solutions
• Collaborate with teams to define requirements, design architectures, and integrate network solutions
• Conduct code reviews, testing, and debugging to ensure robust and reliable software

Who You Are (Success Profile)

• 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.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• 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.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience in a distributed and enterprise-scale environment
• Strong knowledge of C programming specifically for network-related data handling and processing
• Expertise in Linux environments, including system-level programming, scripting, and troubleshooting
• Experience with networking protocols and traffic management technologies (e.g. TCP/IP, HTTP/HTTPS, SSL/TLS, QUIC)
• Strong knowledge in one of the cloud platforms like AWS, Azure, or GCP

What Will Make You Stand Out (Preferred Qualifications)

• Experience in L3 protocols, routing, BGP
• Experience in Cloud-based Networking
• Ability to stay current with industry trends and propose enhancements to improve system reliability, scalability, and network efficiency

#LI-YC2 #LI-Hybrid

Role

We are looking for a Lead Workday Engineer (People Tech & AI), for a hybrid location based in San Jose 3 days a week, reporting to the Director, Enterprise Systems Programming in the IT/Corporate Apps department. In this role, you will lead the evolution of our HR tech stack by blending deep Workday expertise with AI-driven development. You will leverage AI-assisted coding and agentic workflows to build automated solutions that solve complex People & Culture challenges and help us build seamless, intelligent employee experiences across our entire HR landscape.

What you’ll do (Role Expectations)

• Own the full lifecycle of cross-platform People & Culture solutions, bridging systems like Workday, ServiceNow HRSD, and broader HR tooling to architect secure, scalable, and seamless employee experiences
• Spearhead the evaluation, design, and implementation of AI-driven HR solutions and leverage AI applications, AI-assisted coding practices, and multi-agent orchestration to accelerate development, optimize data mapping, and build robust automated workflows
• Serve as the senior subject matter expert and strategic partner to HR, Payroll, and IT executives, translating complex technical concepts and AI capabilities into actionable business value, ensuring optimal user experiences and cross-platform synergy
• Drive AI and P&C technology investments by developing data-driven business cases with clear ROI, defining key success metrics for adoption, and creating compelling presentations to communicate strategy and impact to executive leadership
• Develop and execute comprehensive implementation plans using agile methodologies, and design robust test plans and scripts to ensure all Workday integrations and custom AI applications are delivered on time, high-quality, and bug-free

Who You Are (Success Profile)

• You thrive in ambiguity, are comfortable building the path as you walk it, and see ambiguity not as a hindrance but as the raw material to build something meaningful.
• You are a learner who has a true growth mindset and never stops developing yourself, actively seeking feedback to become a better partner and a stronger teammate, and you love what you do with purpose.
• You are a pragmatic builder who is obsessed with creating, iterating, and shipping, and you aren't afraid to roll up your sleeves to build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity, are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans, and you are a precise communicator who brings clarity and focus to every interaction.
• You are resilient and adaptable, viewing change as an opportunity and setbacks as temporary, maintaining composure and focus in high-pressure situations to guide yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• 8+ years of software engineering or systems integration experience, including at least 4 years of proven architectural-level understanding of the Workday Integrations framework (Payroll Integrations, Core Connectors, EIBs, Workday Studio, and advanced reporting like BIRT or Custom RaaS APIs)
• Demonstrated experience integrating AI tools, Large Language Models (LLMs), or MCP frameworks into enterprise workflows
• Practical experience with AI prompting techniques and AI-assisted development practices for faster deployment of complex logic
• Proven ability to lead agile teams, manage vendor relationships, and thrive in a rapidly evolving, high-growth environment
• Demonstrated ability to build business cases, justify investments, and measure ROI of P&C technology solutions

What Will Make You Stand Out (Preferred Qualifications)

• Previous experience integrating modern ATS platforms like Greenhouse or managing ServiceNow HRSD modules with complex, AI-enabled agentic flows
• Deep knowledge of Workato or similar middleware, experience running IT operations for custom P&C applications, and familiarity with hyperscaler infrastructure such as AWS, GCP, or Azure
• Hands-on experience deploying AI agents within distinct HR processes, coupled with a strong background in UX and design thinking to ensure seamless, intuitive employee adoption

#LI-YC2 #LI-Hybrid

Role

We are looking for a Principal Product Manager to join our team in a hybrid role based in San Jose, CA, reporting directly to the Vice President, Product Management. In this cross-functional role, you will act as the connective tissue across our product portfolio, driving the strategy and execution of a foundational provisioning automation and metering service. This API-first engine will establish a highly scalable, declarative model across our platform. By delivering hyperscaler - grade observability and self-service, you will unlock massive scale—transforming how we onboard customers & partners, while serving as the backbone for Zscaler’s go-to-market strategy.

What you’ll do (Role Expectations)

• Define the product strategy and execution for the new provisioning and metering service
• Lead cross-functional collaboration with product PM engineering teams, ensuring they can seamlessly integrate their products into a unified, API-first declarative model
• Design robust observability, metering, and auditing capabilities that form the bedrock for order processing, contract-based subscription management, and friction-free customer onboarding

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance but as the raw material to build something meaningful
• You act like an owner. Your passion for the mission fuels your bias for action, and you navigate seamlessly between high-level strategy and hands-on execution
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact
• You are customer-obsessed. You build deep empathy for the customer and anchor your decisions in solving their real-world problems
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions

What We’re Looking for (Minimum Qualifications)

• 8+ years of product management experience with deep expertise in observability, automation
• Demonstrated deep experience and comprehensive market knowledge in automation & APIs
• Track record of building effective cross-functional relationships, specifically with engineering teams
• Experience working directly with customers on security feature requirements and feedback
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

What Will Make You Stand Out (Preferred Qualifications)

• Direct experience working at or closely with a major cloud provider (AWS, GCP, Azure, OCI), with a deep understanding of their provisioning, marketplace, and metering models.
• Experience in launching new products from the incubation stage

#LI-Hybrid 

#LI-CM3

Role

We are looking for a Principal Software Development Engineer to join our Engineering team in a hybrid capacity based in San Jose, CA, reporting to the Senior Director, Software Engineering. You will join the team that built the world’s largest cloud security platform from the ground up, enabling organizations worldwide to harness speed and agility with a cloud-first strategy. With more than 100 patents and 15 million users across 185 countries, you will bring your vision to a team of experts dedicated to enhancing our multitenant architecture and global footprint.

What you’ll do (Role Expectations)

• Designing, developing, and optimizing the system, including networking and security features, to support high-performance applications
• Ensuring federal certifications such as FIPS, FedRAMP, Common Criteria, and SOC2 compliance
• Creating design and functional specification documents while performing unit testing and automation to ensure quality
• Collaborating with cross-functional teams to identify and resolve system-related issues, optimize system performance, and innovate features
• Applying strong software design principles and deep troubleshooting expertise to deliver scalable, resilient, and impactful improvements to Zscaler’s Zero Trust Security Services

Who You Are (Success Profile)

• 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.
• 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.
• 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.
• 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.
• 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)

• Bachelor's or Master's (preferred) degree in Computer Science or a related field with 10+ years of experience in system engineering for high-performance networking
• Expertise in Linux kernel-based networking (L2/L3), Stateful Firewall (IP tables / netfilter, network drivers, and protocols like VLANs, DHCP, DNS, SSL, DTLS, and Quic, IPsec
• Proficiency in Go and Python programming languages with excellent problem-solving skills for debugging complex data path issues
• Strong communication and collaboration skills to work effectively with cross-functional teams in a high-accountability environment
• Solid understanding of high-performance networking, security infrastructure, and the technical skills required for scalable systems design

What Will Make You Stand Out (Preferred Qualifications)

• Experience in technologies  such as wireguard,various tunneling protocols such as GRE, L2VPN, HA protocols such as VRRP alongside certifications like FIPS or FedRAMP
• Familiarity with cloud computing platforms like AWS or Azure and containerization technologies such as Docker and Kubernetes
• Advanced expertise in virtualization and security solutions

#LI-Hybrid

#LI-CM3

Role 

We are looking for a Sr. Staff Production Engineer to join our team. This role is available as a hybrid opportunity 3 days a week in San Jose, CA or as a remote position, reporting to Production Engineering in the Cloud Infrastructure & Operations department. Join Zscaler to be a force multiplier for the reliability of a global platform protecting over 15 million users. 

In this role, you will provide the technical vision and hands-on execution to drive an "automation-first" culture across the company. By maturing our observability and architectural standards, you will directly reduce our Mean Time to Mitigate (MTTM) and shape the scalability of our globally distributed, multi-cloud infrastructure.

What you’ll do (Role Expectations)

• Design and implement highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments
• Drive an "automation-first" culture by writing code (Python/Go) to eliminate manual toil and build self-healing systems
• Implement and maintain sophisticated observability (Prometheus, Grafana, OpenTelemetry), define SLIs/SLOs, and establish error budgets
• Act as a lead Incident Commander (TDO on-call), develop response playbooks, and conduct deep-dive post-incident analyses
• Partner with Engineering and partner teams to conduct operability reviews

Who You Are (Success Profile)

• You act like an owner with a bias for action and integrity.
• You are a pragmatic builder obsessed with creating, iterating, and shipping.
• You champion simplicity by distilling complex problems into clear, actionable plans.
• You are data-driven, valuing evidence over assumptions.
• You think at scale, building solutions and processes built to last a high-growth global organization.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience managing reliability, scalability, and availability for large-scale production services
• Deep expertise in programming (e.g., Python, Go, or C/C++)
• Strong background in networking protocols, Linux/FreeBSD systems, and distributed architecture
• Experience in high-stakes incident management and participation in a 24/7 on-call rotation
• Proficiency in leveraging ITIL frameworks and incident data to drive service maturity through systematic problem management and technical operability reviews

What Will Make You Stand Out (Preferred Qualifications)

• Extensive experience with public cloud (AWS, Azure, GCP) and Infrastructure-as-Code (Ansible, Terraform)
• Experience with chaos engineering and disaster recovery planning at scale
• Expertise in global routing (BGP) and traffic tunneling (GRE, IPSec) with a deep understanding of L7 proxy architectures (HAProxy), DNS at scale, and OS networking stack internals

#LI-Hybrid

#LI-CM3

Role 

We are looking for a Sr. Engineering Manager, API Platform to join our team. This is a hybrid role going into the San Jose, CA office 3 days a week. You’ll be reporting to the VPE for the API Platform team. You will play a pivotal role in delivering scalable, secure, and high-performing platforms and developer tooling to empower our engineering teams. Your focus will be on enhancing our platform’s efficiency, scalability, and developer experience while managing senior technical talent.

What you’ll do (Role Expectations)

• Lead the vision and roadmap for the API Platform and developer tooling, ensuring alignment with organizational goals, technical scalability, and industry best practices
• Oversee the standardization, design, and governance of APIs, improving developer experiences and productivity across engineering teams and products
• Manage and coach a team of Senior Staff Engineers and highly skilled technical contributors, fostering a culture of collaboration and professional growth
• Ensure the delivery of microservices, SDKs, and developer tooling optimized for reliability, availability, and ease of integration across Java, Go, and JavaScript
• Work closely with Product Management and Security to build scalable and secure solutions that meet unique business objectives

Who You Are (Success Profile)

• 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.
• 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.
• 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.
• 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.
• 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)

• 8+ years of experience as an engineering leader, including 3+ years managing technical teams for developer tooling, API platforms, or cloud-based systems across multi-language ecosystems including Java, Go, and JavaScript
• 10+ years of overall software engineering experience, including hands-on proficiency in designing APIs and SDKs for containerized environments like Kubernetes and Docker
• Deep understanding of distributed systems concepts such as caching, queues, and pub/sub architectures with cloud service experience in AWS, GCP, or Azure
• Advanced understanding of API-first design principles and standards including OpenAPI/Swagger, REST, JSON, and Authn/z
• U.S. citizenship due to the nature of the customers assigned to this role

What Will Make You Stand Out (Preferred Qualifications)

• Proven experience in the Cloud Security and Networking domain.  
• Experience driving engineering practices for workflow automation and developer productivity using open-source or proprietary tools
• Proactive advocate of modern engineering practices such as DevSecOps, CI/CD, and Infrastructure-as-Code across large engineering organizations

#LI-Hybrid #LI-BH1

Role 

We are looking for a Staff Software Development Engineer, Nanolog to join our team. This is a Hybrid (San Jose, 3 days in office) role, reporting to the Sr. Director, Software Engineering in the Zero Trust Exchange department. You will play a critical role in the evolution of the Zscaler Nanolog Service, driving the design and optimization of our proprietary time series database. By identifying system bottlenecks and implementing kernel-level enhancements, you will ensure our platform continues to deliver high-performance, scalable security solutions for our global customer base.

What you’ll do (Role Expectations)

• Developing and maintaining the Query layer using Java, Python or Go within a Kubernetes environment
• Designing, implementing, and deploying Kubernetes clusters that are scalable and reliable
• Developing monitoring systems and deploy services in the cloud
• Troubleshooting and resolving issues related to Kubernetes clusters, containers, and microservices
• Contributing to the overall reliability, scalability, and security of applications in cloud-native environments

Who You Are (Success Profile)

• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience with Programming languages like Java, Python, or Golang
• 3+ years of experience in Kubernetes, Docker, and Kafka
• 2+ years of public cloud experience (AWS,GCP, or Azure)
• Expertise in designing, analyzing, and troubleshooting large-scale distributed systems
• Experience with Infrastructure as Code

What Will Make You Stand Out (Preferred Qualifications)

• Experience in continuous monitoring, vulnerability scanning, patching, and reporting
• Experience with multiple cloud providers (AWS, Azure) and both relational and non-relational databases for microservices

#LI-Hybrid #LI-YC2

Role 

We are looking for a Staff Information Systems Engineer based in San Jose (Hybrid, 3 days in office), reporting to the Manager, End User Engineering in the IT Digital Employee Experience department.

The Staff Information Systems Engineer (End-User Computing) defines and drives the strategy and architecture for Zscaler’s secure, cloud-first employee workspace across Windows, macOS, BYOD, and mobile (iOS & Android), ensuring devices are compliant, resilient, and scalable. The role connects End User Engineering(Digital Employee Experience) objectives to day-to-day execution by leading automation, self-service, and zero-touch deployment initiatives, integrating core platforms, and mentoring engineers to improve productivity, reduce risk, and modernize the end-user experience.

What you’ll do (Role Expectations)

• Define EUC strategy and future-state architecture across Windows, macOS, BYOD, and mobile (iOS/Android)
• Lead automation, self-service, and zero-touch provisioning initiatives
• Integrate and optimize core platforms (e.g., Workspace ONE/Intune/Jamf, Automox, Okta, Azure AD)
• Drive security, patching, and vulnerability remediation in partnership with Security
• Provide technical leadership (L4 escalation) and mentor engineers

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• 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.

What We’re Looking for (Minimum Qualifications)

• 8+ years in endpoint engineering/systems architecture, including prior lead ownership of enterprise-scale initiatives in a global environment
• Expert-level administration of at least one endpoint management stack (Workspace ONE / Intune (MEM) / Jamf) plus strong experience with patching at scale (e.g., Automox)
• Advanced automation skills (PowerShell, Python, and/or shell) with proven delivery of API-driven integrations/workflows across IT/Security/HR systems
• Demonstrated capability to drive zero touch provisioning, endpoint security, vulnerability remediation, and audit readiness in partnership with Security (Zero Trust mindset)
• U.S. citizenship due to the nature of the customers assigned to this role

What Will Make You Stand Out (Preferred Qualifications)

• Hands-on experience with Workspace ONE and Automox for end-to-end endpoint lifecycle management and patch/vulnerability management at scale
• Exposure to AIOps, VDI(Desktop as Service), and advanced self-service/self-healing programs, with measurable outcomes (e.g., reduced ticket volume, faster MTTR, improved device compliance)
• Proven success in FedRAMP/regulated environments, including building repeatable audit evidence, control workflows, and strong partnerships with Security/GRC

#LI-YC2 #LI-Hybrid

We are looking for a Staff Golang Developer to join our Platform Convergence team. This is a hybrid role based in either San Jose, CA or Bellevue, WA (3 days a week), reporting to the Sr. Director of Software Engineering within the Engineering department. You will bring your vision and passion to a team of architects and engineers building the world’s largest cloud security platform. You will help organizations worldwide harness speed and agility through a cloud-first strategy and a robust multitenant architecture.

What you’ll do (Role Expectations)

• Design, and implement scalable, high-performance backend services and APIs using Go while integrating with PostgreSQL, MySQL, MongoDB, and Redis
• Ensure code quality through unit, integration, and performance testing while monitoring and optimizing system performance
• Partner with external teams to deliver integrated solutions and ensure seamless system functionality across the platform
• Drive project success by contributing to Agile/Scrum processes, including sprint planning and retrospectives
  
  

Who You Are (Success Profile)

• 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
• 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
• 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
• 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
• 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)

• 5+ years of experience with proficiency in Golang, including expertise in concurrency, parallelism, GRPC, and Protobuf
• Skilled in building large-scale distributed systems, RESTful API design, and web frameworks like Gin and Echo
• Hands-on experience with Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure
• Solid understanding of SQL and NoSQL databases along with CI/CD pipeline implementation
• Exceptional problem-solving skills and attention to detail for designing robust technical solutions
  
  

What Will Make You Stand Out (Preferred Qualifications)

• Experience with systems languages like Rust or C/C++, particularly in performance-critical environments
  
  

#LI-Hybrid #LI-JM1

We are looking for a Staff Escalation Engineer to join our Shared Platform Services team. This is a hybrid role based out of either our San Jose, CA office (3 days a week), reporting to the Sr. Manager, Software Engineering QA. You will be instrumental in taking the Zscaler Client Connector Cloud service to the next level in terms of reliability, availability, and scalability. As part of the team that built the world’s largest cloud security platform, you will bring your vision and passion to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Own and resolve escalated cloud incidents end-to-end, including impact analysis, debugging, implementing solutions, and communicating with stakeholders

• Collaborate with development, security, and operations to design and implement code/configuration fixes for complex system issues

• Monitor system health, performance, and security via PagerDuty and enhance alerting to meet SLOs

• Build diagnostic tools, dashboards, and documentation to enable faster, more effective incident resolution across the team

• Lead production service ownership and supportability by deploying critical fixes, making key deployment decisions, and responding to high-pressure off-hours events

Who You Are (Success Profile)

• 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.

• 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.

• 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.

• 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.

• 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)

• 5+ years of experience along with expert troubleshooting, debugging, and root-cause analysis for complex, high-priority incidents, with experience using CPU/memory profilers to diagnose resource exhaustion

• Strong hands-on skills in Python, Bash, and Java; cloud platforms (GCP, AWS, Azure); and IaC/configuration tools (Terraform, Ansible)

• Ability to write complex MySQL queries and generate business reports

• Experience with authentication protocols such as SAML and OAuth

• Solid networking fundamentals (TCP/IP, UDP, ICMP) and debugging with Postman and packet captures, along with proficiency in monitoring tools like Grafana

What Will Make You Stand Out (Preferred Qualifications)

• Experience developing applications with Java, REST APIs, MySQL, and jQuery

• Bachelor’s degree in Computer Science or Computer Engineering (or related field); MS in CS/CE preferred

#LI-JM1 #LI-Hybrid

About the Role 

Now we are looking for a Middle/Senior C# Developer to join the team that works on Veeam Backup for Office 365. 

What You'll Do 

• Developing and supporting one of Veeam's core products: Veeam Backup for Microsoft 365 

• Communicating with other participants of the product development process  

• Participating in planning and creating the features for your products  

Technologies You'll Work With   

• Latest C# (and a bit of C++, C++CLI), REST, PowerShell, WPF  

• Latest .NET frameworks 

• Visual Studio or Rider 

• Azure DevOps, Git, Jenkins  

• Azure, Office 365, Amazon  

• Exchange, SharePoint, SQL, Messaging and Events  

• Agentic coding tools 

What You'll Bring 

• Good knowledge of C# language 

• 3-5 years of relevant experience  

• Understanding of data structures and algorithms  

• Experience developing for a RDMS, e.g. Postgresql, SQL Server, MySQL, Oracle  

• Experience in the development for public clouds, e.g. Microsoft Azure, AWS, GCP  

• You should also have an open and flexible mind, common sense, clear logic, analytical skills, and the ability to work independently  

Bonus Skills  

• Understanding of the Windows platform (.NET, Win API)  

• Experience debugging event-based systems  

• Advanced knowledge of Windows or Linux operating systems  

• Experience in the development for Microsoft Exchange, SharePoint, or Office 365  

• Experience in a commercial development of products for the mass market  

Please Note: If the applicant is permanently located outside of the United States Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in the United States. 

#LI-Remote #LI-KFUS 

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: OPP00051-1

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

We are looking for a top-tier Enterprise Cloud Security Engineer to design and secure the cloud infrastructure supporting the next phase of sustainable air mobility. You are a collaborative, hands-on professional with excellent communication skills and the ability to see the big picture. In this role, you will be responsible for securing our cloud-native environments (AWS/Azure) and ensuring that our telemetry, flight operations, and enterprise systems are protected against advanced persistent threats. You will connect DevOps and Security by incorporating "secure-by-design" principles into our Infrastructure as Code (IaC) and CI/CD pipelines, while ensuring compliance with aviation and federal standards (NIST CSF, 800-53, FedRAMP, DO-326A).

Key Responsibilities

• Cloud Architecture & Hardening: Design, implement, and maintain secure cloud architectures across AWS and Azure. Enforce zero-trust principles and least-privilege access using advanced IAM policies and roles.
• Infrastructure as Code (IaC) Security: Lead the security review and automated scanning of IaC templates (Terraform, CloudFormation, Helm). Prevent misconfigurations before they reach production.
• DevSecOps & Automation: Integrate security tooling (CSPM, CWPP, Secret Scanning) directly into CI/CD pipelines (Jenkins, GitLab, GitHub Actions) to enable rapid, secure deployment.
• Kubernetes & Container Security: Secure containerized workloads and orchestration platforms (EKS/AKS), ensuring runtime protection, image scanning, and network segmentation.
• Compliance & Governance: Map cloud security controls to industry frameworks, including NIST SP 800-53, ISO 27001, and aviation-specific standards like DO-326A—Automate evidence collection for audits.
• Threat Detection & Incident Response: Build high-fidelity detection rules for cloud threats using SIEM/SOAR platforms. Lead investigations into cloud security incidents and perform forensics on ephemeral workloads.
• Telemetry & Data Protection: safeguard critical flight telemetry and sensitive data pipelines through robust encryption, key management (KMS/HSM), and data loss prevention (DLP) strategies.

Required Qualifications

• Experience: 5+ years of experience in Cloud Security, DevSecOps, or Infrastructure Engineering, with at least 3 years focused on public cloud (AWS, Azure, and GCP).
• Technical Mastery: Deep hands-on expertise with Terraform, Kubernetes, and Linux environments.
• Coding/Scripting: Proficiency in Python, Go, or Bash for automating security tasks and building custom tooling.
• Security Tooling: Experience implementing and tuning CSPM/CNAPP tools (e.g., Wiz, Prisma Cloud, Orca, Sysdig) and SIEM platforms (Tenex, Splunk, Datadog Security).
• Frameworks: Working knowledge of NIST CSF, NIST 800-53, or FedRAMP requirements.

Preferred Qualifications

• Aerospace/Defense Experience: Familiarity with DO-326A (Airworthiness Security), ITAR regulations, or safety-critical systems.
• Certifications: AWS Certified Security – Specialty, Azure Security Engineer (AZ-500), CKA (Certified Kubernetes Administrator), and CISSP, CISM.
• Architecture: Experience designing "Zero Trust" networks and implementing Service Mesh (e.g., Istio, Linkerd) security.
• Offensive Security: Experience conducting cloud penetration tests or "Purple Team" exercises to validate defenses.

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 $155,000.00 - $185,00.00. 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.

What we do  

You’ll join a software engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Senior AI Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You are proficient in Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You have a good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs.
• You have experience productionizing applications and implementing CI/CD pipelines to ensure reliable, scalable deployments.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enterprise Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enablement Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Solutions Architect on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 
  

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

What You’ll Do:

We are looking for an experienced Data Engineer to specialize in aviation data and analytics, focusing on two critical areas: scalable and efficient processing of flight test data for rapid design iteration and near-real-time analysis of aircraft health data for predictive maintenance. This role is vital for accelerating our aircraft design and improvement processes through efficient, scalable data processing and for ensuring operational reliability and safety through advanced predictive analytics.

In this role, you will be tasked with various aspects of data engineering. In addition to the above, your responsibilities will include but not limited to the following.

• Architect, build, and optimize our data processing systems to ensure reliability, efficiency, and scalability
• Develop and optimize ETL processes, data models, and data architectures for data transformation, structures, metadata, and workload management
• Develop and maintain data models that support analytics, reporting, and custom app development
• Create robust data quality observability, monitoring, testing, and validation frameworks
• Engage actively with analytics teams and business stakeholders to understand their data needs, ensuring the data architecture supports decision-making processes effectively
• Support the integration of data systems with aircraft telemetry, flight testing, and operational systems

What You Need:

• Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field
• At least 3 years  experience in data or software engineering with background implementing best practices for SQL and programming languages (e.g. Python, Go, Rust)
• Experience designing and managing data warehouse /  lakehouse architectures for high performance and low latency
• Led development of real-time data pipelines using Kafka or related technologies
• Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure) 
• Deep understanding of data security and quality governance
• Deployed and scaled data workloads using Docker and Kubernetes, with the ability to manage compute resources for high-volume processing 
• Familiarity with ERP systems and how to extract data to build custom tools & applications
• Knowledge of integrating Gen AI into production data workflows 
• Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams
• Clear communication skills that are essential for working across diverse stakeholders

Bonus Qualifications:

• Solid foundation in machine learning and other data science fundamentals
• Familiarity with time series data applications and related technologies
• Experience with Infrastructure as Code (Terraform, CloudFormation)
• Advanced skills in predictive analytics and machine learning models for maintenance and anomaly detection
• Experience in aerospace or a related field, particularly with flight test data analysis and aircraft health monitoring
  
  

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. 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.

Custom Application Question:

In order to comply with U.S. export control laws and regulations, applicants for this position who are non-U.S. nationals (i.e. individuals who are not U.S. Citizens, Permanent Residents, Asylees, Refugees or members of a similar designation) may need to obtain an export-control license to access certain restricted data and/or information. To the best of your knowledge, is there a possibility that you may need to acquire an export-control license? 

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.

We are looking for a highly motivated and versatile Senior Platform Engineer to join our platform engineering team. This unique role is central to accelerating our product development lifecycle and operational efficiency. You will be instrumental in bridging the gap between development, infrastructure, and our burgeoning AI/ML initiatives, focusing on automation, self-service infrastructure, and workflow optimization. This position is ideal for an experienced engineer who thrives on creating leverage for others and tackling complex, interdisciplinary challenges.

Key Responsibilities:

CI/CD and Automation

• Design, implement, and maintain scalable and reliable CI/CD pipelines (e.g., using GitLab CI, GitHub Actions, Jenkins, Spinnaker) to ensure rapid and safe deployments across multiple environments.
• Drive the adoption of best practices for build management, testing automation, and deployment strategies (Canary, Blue/Green, etc.).
• Minimize deployment friction and cycle time for all engineering teams.

Self-Service Infrastructure & Provisioning

• Develop and champion self-service tooling and internal platforms (leveraging tools like Terraform, Ansible, Kubernetes, or equivalent cloud provider APIs) that empower development teams to provision and manage their own infrastructure resources securely and efficiently.
• Establish guardrails and policy-as-code to ensure compliance, cost efficiency, and security across all provisioned infrastructure.

AI Infrastructure Enhancement & Support

• Collaborate closely with AI/ML Engineers to improve the underlying platform used for model training, experimentation, and serving.
• Focus on the operationalization of MLOps pipelines, including data lineage tracking, feature store integration, and production model deployment automation.
• Assist in optimizing resource allocation (e.g., GPU usage, specialized hardware) for AI workloads.

Workflow Automation & Internal Tooling

• Architect and build automated workflows and bots, primarily within communication tools like Slack or Zoom, to streamline common engineering tasks (e.g., on-call handoffs, incident response, environment status checks, approval processes).
• Develop internal APIs and services that connect disparate engineering systems to enhance communication and cross-functional transparency.

Required Qualifications

• 5+ years of professional experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), or a related discipline.
• Deep expertise in cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform strongly preferred).
• Expertise in containerization and orchestration technologies (Docker and Kubernetes).
• Proficiency in scripting and general-purpose programming languages (e.g., Python, Go, Bash).
• Extensive experience designing and managing CI/CD systems at scale.
• Proven track record of building internal developer platforms or self-service tools.

Preferred Qualifications

• Experience with AI/ML infrastructure, MLOps tooling, or data pipeline technologies (e.g., Airflow, Kubeflow, Vertex AI, SageMaker).
• Prior experience building conversational interfaces, bots, or workflow automation tools for platforms like Slack or Teams.
• Familiarity with distributed tracing, logging, and monitoring systems (e.g., Prometheus, Grafana, ELK stack, Datadog).
• Experience with security best practices in a cloud environment (IAM, network security, secrets management).

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 $144,000 - $175,000. 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.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

IT Systems Administrator

Sumo Logic's Cloud SIEM (Security Information and Event Management) platform provides comprehensive security visibility and analytics for modern cloud and hybrid environments. Leveraging advanced analytics and machine learning, our Cloud SIEM delivers real-time threat detection, incident response, and compliance management. Designed for scalability and efficiency, it seamlessly integrates with a wide range of security tools and data sources, enabling organizations to effectively manage and mitigate security risks while optimizing their security operations. Sumo Logic's Cloud SIEM empowers security teams to stay ahead of evolving threats and maintain robust security postures.

As an IT Systems Administrator, you will actively contribute to, execute for, and lead IT in the design and development of business insights and analytics solutions. You will be instrumental in helping us solve complex data visualization, modeling, curation, and reporting problems among Sumo Logic’s robust inventory of cloud services, data tooling, and business applications. You will work closely with a team of highly skilled individuals to deliver on high impact engagements at Sumo Logic, reporting directly to the Global Head of Infrastructure and Data and engaging projects under the guidance of the Lead IT Systems Engineer.

You are a strong IT operations expert who is passionate about scalable, resilient, secure, and cost-efficient data solutions. You care about delivering on customer requests with a high attention to detail, a sense of natural curiosity, and a focus on building lasting relationships. You are at home when helping the group come up with a better solution than you would as individuals and providing experienced guidance and insight to those around you. You are comfortable in a fast-moving environment with responsibility for global hardware and end user device needs, alongside a host of IT applications. Ideally, you have experience with performance, scalability, and reliability issues of 24x7 uptime systems and solutions.

Responsibilities:

• Deliver exceptional end user support via Helpdesk & Triage services, showcasing a strong dedication to promptly resolving issues and ensuring utmost customer satisfaction.
• Exhibit advanced expertise in overseeing user endpoints, emphasizing a high degree of security and functionality while consistently delivering effective endpoint management solutions.
• Spearhead the seamless integration of IT systems, focusing on optimizing operations and enhancing efficiency. Prove successful in implementing and fine-tuning integrations to meet organizational needs.
• Champion automation initiatives across IT operations to streamline processes and workflows. Show a history of implementing automation solutions that boost operational efficiency and reduce manual workloads.
• Manage the diverse user application portfolio with a keen focus on providing outstanding support and regular updates. Demonstrate expertise in ensuring applications align with user needs and contribute to operational success.
• Lead the provisioning of user accounts, maintaining a commitment to providing secure access to systems and applications. Demonstrate a track record of delivering provisioning services accurately and efficiently.
• Provide basic technical support for AWS Marketplace services, ensuring timely and effective assistance for customers. Exhibit a wealth of experience in supporting AWS products and services, prioritizing customer satisfaction throughout.
• Administer Atlassian environments at the system configuration level, within the IT operations department. Showcase a history of optimizing Atlassian administration and granularly configuring Jira to enhance team productivity and customer satisfaction.
• Collaborate with other IT teams as needed to drive forward joint efforts

Requirements:

• 3+ years of experience in providing End User Services, specializing in helpdesk & triage support, with a strong emphasis on carefully executing Jira tickets and delivering high quality and reusable Confluence documentation
• Proficiency in user endpoint management tools such as JAMF, with a proven track record of successful endpoint management
• Demonstrated expertise in IT system integrations, showcasing the ability to integrate various systems for enhanced performance and efficiency
• Strong familiarity with IT automations, including scripting languages like BASH and Powershell, and a history of implementing automation solutions
• Experience in user application portfolio management, ensuring effective support and updates for user applications
• Knowledge of user provisioning processes, particularly utilizing Okta for secure and efficient provisioning of user access
• Regular responsibility for AV equipment management as setup
• Basic AWS ability to provide technical support for marketplace services, with specific experience in AWS Marketplace technical support a bonus
• Proficiency in Atlassian Administration, including tools like Jira and Confluence, to manage tasks, issues, and documentation effectively

Desirable:

• Experience in cloud services and management
• AWS
• Azure
• GCP
• Experience managing security hardware devices such as cameras and door readers
• Experience working with and managing third party MSP relationships around hardware device management
• Understanding of ITIL processes and practices as well as vendor and contract management

About Us:

Sumo Logic, Inc., empowers the people who power modern, digital business.  Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform™ helps practitioners and developers ensure application reliability, secure, and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

About the Role

A Team Leader is expected to bring a high level of technical knowledge of both third-party and Veeam products, communicate effectively, collaborate efficiently with other team members to improve team knowledge, and maintain a high level of customer satisfaction while maintaining morale and other major components of the workforce. A Team Leader is expected to perform periodic quality assurance checks of team workflow, provide necessary coaching to correct deficiencies, help address customer concerns directly, and arbitrate between technical levels and Product teams to ensure customers are receiving the best assistance available. 

What You’ll Do 

• Manage and direct a group of Technical Support Engineers to ensure successful customer experiences with issues or errors regarding product implementation, usage, and application or customer infrastructure, as outlined in the Veeam Support Policy. 

• Provide in-depth, expert technical support and troubleshooting for Veeam Software clients via telephone, email, and web conferencing. 

• Assist in escalation cases via internal and external distribution lists. 

• Analyze, diagnose, and provide solutions and or workarounds for virtualization software, operating systems, networks, and applications in relation to Veeam software product problems or questions. 

• Monitor ticket queues for SLA compliance, including updates to and work on assigned cases in a timely manner. 

• Maintain strong customer rapport and excellent, timely communication. 

• Communicate effectively with Sales Representatives and other internal teams. 

• Be a point of contact with on-call responsibilities for high-priority, highly complex issues. 

• Manage and reduce ambiguity. 

• Operate in an environment with frequent changes, including stressful situations. 

• Routinely train and mentor less experienced engineers. 

• Perform other duties as assigned. 

What You’ll Bring 

• Demonstrable strong technical knowledge and systematic problem-solving skills, sharing insights to elevate team and customer outcomes. 

• Ability to engage empathetically and communicate clearly with customers and colleagues, ensuring all interactions and documentation are professional, concise, customer-centric, and actionable. 

• Previous business-to-business (B2B) technical support experience with high-tech products or services is required, including virtualization, Windows infrastructure, and cloud-based storage or deployments. 

• Strong networking background required. 

• Three to five years of server administration and troubleshooting experience. 

• Five years of client or customer support experience at Level II or Level III with demonstrated problem resolution skills. 

• Exceptional communication skills, both verbal and written. 

Bonus Skills 

• Project management certifications or experience with productivity tools used at Veeam, such as Jira and Confluence. 

• Administration certifications for Amazon Web Services, Azure, or other similar cloud offerings. 

• Security certifications or equivalent work history involving management of certificate stores and cloud platform credential management. 

What You’ll Get 

• Two weeks of paid vacation, 12 statutory holidays, plus four extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares. 

• Paid parental leave: eight days for fathers, 122 days for birthing parents, and 92 days for adoptive parents. 

• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents. 

• Mental health support, therapy sessions, and virtual care through the Employee Assistance Program. 

• Retirement and social security contributions through Costa Rica’s statutory programs. 

• Life insurance equal to 24 times monthly salary, plus disability and funeral coverage. 

• Daily cafeteria subsidy. 

• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares. 

• Opportunities to learn and grow through on-demand libraries such as LinkedIn Learning and O’Reilly, mentoring, workshops, and learning events like the annual Global Day of Learning. 

Please note: The position is based in San Jose, Costa Rica. If the applicant is permanently located outside of Costa Rica, Veeam reserves the right to decline the application. All applications must be submitted in English.

#LI-FT1
#LI-HYBRID

About the Role 

We’re looking for an ML/AI Ops Engineer with 7+ years of experience to own the end-to-end operationalization of our ML/AI solutions, ensuring models move smoothly from development to scalable, reliable production products. In this role, you’ll design and automate CI/CD pipelines, build and optimize model lifecycle workflows, monitor deployed models for performance, drift, and reliability, and integrate intelligence products into various digital tools such as Copilot, Salesforce, and Tableau. You’ll collaborate closely with Data Scientists, Data Engineers, and Data Architects to transform high-quality research models into robust, production-grade products. This is a key role in shaping a modern ML/AI lifecycle—from CI/CD to high governance. 

What You’ll Do 

• Own the end-to-end operationalization of ML and AI solutions—from development to scalable, reliable production systemsthat integrateseamlessly with other digital tools. 
  • Design, automate, and maintain CI/CD pipelines for model training, testing, deployment, and retraining (Azure DevOps, Databricks). 
  • Build, optimize, and version model lifecycle workflows, ensuring reproducibility, lineage, and governance across the ML/AI platform. 
  • Monitor production models for performance, drift, reliability, and resource usage; implement automated retraining workflows. 
  • Optimize compute, storage, and orchestration across the Databricks platform to ensure efficient, cost-effective operations. 
  • Collaborate closely with ML/AI Scientists, Data Engineers, and DWH team to transform research-grade models into production-ready services. 
  • Contribute to advancing our ML/AI platform, tooling, automation standards, and best practices. 

What You’ll Bring 

• Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management.
• Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code.
• Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency
• Experience in building Vector embeddings & RAG systems.
• Familiarity in ML and LLM models development and libraries used.
• Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations.
• Familiarity with CI/CD pipelines (Azure DevOps preferred)
• Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments.
• Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference.
• Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows.
• A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team. 

Bonus Skills 

• Understanding ofdata quality frameworks and how they integrate into ML pipelines.
• Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components. 
• Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial.
• Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference.
• Experience with AI agent tools and MCP servers. 
• Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices.

What You’ll Get 

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-CC1

About the Role

We are looking for an Analytics Engineer to join our internal Data Management team and help power data-driven decision-making across the organization. In this role, you will design and maintain scalable data models, pipelines, and transformation processes that enable analytics, reporting, and data science initiatives. You will collaborate closely with analysts, data scientists, and engineering teams to ensure reliable, efficient, and well-structured data that supports business insights and strategic initiatives.

What You’ll Do

• Design scalable and reliable data marts and transformation processes that support analytics and reporting needs
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into efficient data solutions
• Develop optimized data models and schemas that enable efficient storage, retrieval, and analysis of large datasets
• Build ETL and ELT pipelines that transform raw data from multiple sources into structured datasets for analytics and reporting
• Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems
• Monitor data pipelines and systems to troubleshoot issues and identify opportunities for improvement
• Document data architectures, data flows, and processes to support transparency, collaboration, and maintainability

Technologies You’ll Work With

• SQL and relational databases
• Cloud platforms such as Azure, AWS, or GCP
• Programming languages such as Python, Java, or Scala
• Databricks and Spark
• Data warehouse technologies such as Postgres or Vertica
• ETL/ELT frameworks and data transformation tools

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• Strong proficiency in SQL and experience working with databases and data warehouse systems
• Experience building data pipelines and data processes in a cloud environment such as Azure, AWS, or GCP
• Experience with at least one programming language such as Python, Java, or Scala
• Knowledge of ETL/ELT processes, data modeling, and data warehousing best practices
• Ability to collaborate with cross-functional teams including analysts, engineers, and business stakeholders
• Strong written and verbal English communication skills (B2 level or higher)

Bonus Skills

• Experience working with Databricks and Spark
• Experience with Azure cloud services
• Experience with Postgres or Vertica data warehouse technologies
• Experience working with Salesforce data
• Experience building datasets used in analytics or reporting tools

What You’ll Get

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: The position is based in San Jose, Costa Rica. If the applicant is permanently located outside of Costa Rica, Veeam reserves the right to decline the application. All applications must be submitted in English.

#LI-FT1
#LI-REMOTE

About the Role

We are looking for a Senior Platform Engineer to join the Workload team within the Veeam R&D Department. You will own critical observability infrastructure, drive incident response maturity, and help scale proactive support capabilities as operational accountability. 

What You’ll Do

• Design, build, and maintain observability pipelines using the Elastic Stack (Elasticsearch, Kibana, Fleet) across Azure and AWS workloads 
• Develop and own SLO/SLI dashboards and error budget reporting for BaaS platform services 
• Respond to and lead incident response for distributed, multi-tenant cloud workloads; own runbook creation, maintenance, and continuous improvement
• Build and refine proactive support tooling, including pattern analysis, tenant correlation dashboards, and baseline deviation alerting, to reduce reactive support burden 
• Manage and maintain Elastic Fleet agent policies, enrollment health, and log streaming pipelines across Azure and AWS worker fleets 
• Partner with SRE, R&D, and Proactive Support teams to close observability gaps, including tenant identification workflows and admin portal integrations 

Technologies we work with

• ⁠Elastic Stack — Elasticsearch, Kibana, Elastic Fleet, KQL, Query DSL
• Azure Kubernetes Service (AKS), Azure Container Apps, VMs
• Azure Security — Entra ID, Managed Identities (user/system assigned), App Registrations, Key Vault
• Infrastructure as Code — Azure Bicep, Terraform, or Pulumi
• CI/CD — Azure DevOps, GitHub Actions
• ITSM tooling — ServiceNow, Salesforce, Jira, Incident.io (for tenant and incident workflows) 

What You’ll Bring

• 5+ years of experience in cloud platform engineering, SRE, or infrastructure roles supporting commercial SaaS products
• Deep hands-on experience with Elastic Stack: Building dashboards, writing KQL/Query DSL, managing Fleet
• Proven experience operating and troubleshooting distributed, multi-tenant workloads on Azure and/or AWS
• Strong understanding of Azure cloud services: AKS, Entra ID, Key Vault, Service Bus, Cosmos DB, Private Endpoints, etc.
• Experience with incident response in production cloud environments, including runbook development and post-incident review
• Experience with IaC tools (Azure Bicep, Terraform) and CI/CD pipelines (Azure DevOps, GitHub Actions) 
• Strong scripting skills in Bash, Python, or PowerShell
• Ability to work cross-functionally with SRE, product, and customer-facing support teams 

Bonus Skills

• Familiarity with Veeam Data Platform products 

#LI-AA3

About the Role

As a Senior Product Advisor within the Product Management Alliances team at Veeam, you will be instrumental in shaping our product integration strategy in collaboration with leading hyperscaler platforms such as Microsoft Azure and AWS. In this role, you will function as a strategic technical partner—guiding the convergence of business needs and technical innovation to advance Veeam’s leadership in data management, protection, and resilience.

What You’ll Do

• Lead Cloud Integrations: Architect and implement advanced integrations between Veeam’s products and hyperscaler cloud platforms (AWS, Azure, GCP), delivering customer value through technical innovation and excellence
• Strategic Partner Collaboration: Serve as the primary technical liaison for hyperscaler partners, co-developing integration strategies, architectural frameworks, and best practices for joint solutions
• Cross-Functional Leadership: Collaborate closely with product management and engineering teams across organizations, providing architectural guidance and ensuring partner and customer insights shape product development
• Relationship Management: Cultivate and maintain strong technical relationships with hyperscaler stakeholders, sharing operational expertise and uncovering opportunities for joint innovation
• Technology Evangelism: Champion the adoption of emerging cloud and AI technologies within Veeam’s portfolio, enabling the delivery of next-generation workload protection solutions
• Internal Advisory: Act as a trusted technical advisor to internal teams—including Product Management, R&D, Support, and Sales Engineering—guiding product strategy and solution architecture
• Technical Escalation: Function as the senior escalation point for complex integration scenarios and critical customer engagements, resolving advanced technical challenges and ensuring project success
• Architectural Leadership: Assess and articulate the impact of architectural decisions on scalability, performance, and cost, while setting and advocating for high standards in integration and design

What You’ll Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience
• Strong programming and engineering acumen, with the ability to interpret and analyze data structures, code architectures, and technical documentation
• Proven expertise in designing, architecting, and integrating products and solutions within hyperscaler environments (AWS, Azure, GCP) and complex enterprise software ecosystems
• In-depth knowledge of cloud-based data protection, storage technologies (including object storage), APIs, SaaS architectures, and AI-driven integrations
• Demonstrated success in technical leadership roles, including driving alignment and negotiation across multifaceted partnerships and alliances
• Exceptional communication and interpersonal skills, with a track record of engaging, influencing, and building relationships with diverse internal and external stakeholders
• Experience delivering compelling technical presentations, evangelizing products and solutions at industry events, and serving as a trusted advisor to customers and partners
• Advanced analytical and problem-solving abilities in cloud environments, with a history of resolving complex technical challenges and thoroughly documenting solutions
• Willingness to travel approximately 5–7 weeks per year

Bonus Skills

• Relevant certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect Expert
• Experience with DevOps practices and automation tools
• Background in product management or technical alliances within the cloud ecosystem
• Experience working in a global, cross-functional, or matrixed organization

Senior Incident Response Engineer

Job Overview

Archer is building the future of urban air mobility. Our intellectual property and safety-critical systems are high-value targets for nation-state actors and ransomware groups. A single incident could impact aircraft certification or delay FAA approvals. You are the first line of defense when preventive controls fail. Your work ensures our security maturity is "audit-ready" for investors, government agencies, and the DoD.

Archer is seeking a Senior Incident Response Engineer to lead our detection and remediation efforts across enterprise and aviation technology environments. In this high-visibility role, you will serve as the primary technical liaison between Archer’s internal security team and our Managed Security Service Provider (MSSP). You will be responsible for translating security alerts into actionable threat intelligence and coordinated response actions while ensuring strict compliance with NIST SP 800-171, CMMC Level 2, and SOX ITGC requirements.

This is a highly technical, hands-on position. You will lead investigations from initial detection through recovery, produce forensic reports for legal and regulatory stakeholders, and design automated response playbooks. Because Archer operates in a regulated aerospace environment, you must balance rapid response with meticulous evidence preservation.

Key Responsibilities

• MSSP Liaison & Alert Management: Serve as the internal SIEM engineer and MSSP relationship owner. Validate alerts by independently querying SIEM data using YARA-L, SPL, or KQL.
• Incident Response & Forensics: Lead technical response for breaches, malware, and insider threats. Execute containment (isolating endpoints, blocking IPs) and conduct deep-dive forensics including memory analysis and disk imaging.
• Threat Hunting: Execute proactive hunts using EDR telemetry and the MITRE ATT&CK framework to identify lateral movement or persistence mechanisms that evade automated detections.
• Detection Engineering & SOAR: Develop and tune custom detection rules. Design SOAR workflows to automate evidence collection and remediation, reducing MTTD and MTTR.
• Compliance & Audit Support: Design log retention policies to satisfy NIST 800-171 AU and CMMC IR practices. Facilitate external audits by providing evidence of root cause analysis and post-incident reviews.
• Continuous Improvement: Facilitate tabletop exercises for leadership and engineering teams. Lead post-incident reviews to document lessons learned and drive strategic program improvements.

Required Qualifications

• Experience: 5+ years of direct experience in Incident Response or SOC roles, with proven experience managing MSSP SLAs and performance.
• OS Internals: Demonstrated expertise in Windows, Mac, and Linux internals (process behavior, registry analysis, and log sources).
• Scripting: Proficiency in Python, PowerShell, or Bash to automate analysis workflows and evidence collection.
• SIEM/SOAR Mastery: Hands-on experience with platforms like Google SecOps (Chronicle), Splunk, or Microsoft Sentinel, and SOAR tools (Cortex XSOAR or Phantom).
• Threat Intelligence: Knowledge of CTI standards (STIX/TAXII) and the ability to translate actor TTPs into actionable detection logic.
• Communication: Ability to produce clear, concise written reports for Legal, HR, and regulatory stakeholders that translate technical findings into business risk.

Preferred Qualifications

• Advanced Malware Analysis: Experience with static/dynamic analysis and reverse engineering using IDA Pro, Ghidra, or REMnux.
• Aerospace/Regulated Industry: Familiarity with ITAR compliance, CUI handling, or aviation-specific threats (avionics tampering, firmware security).
• Cloud IR: Experience conducting forensic analysis within AWS, Azure, or GCP environments.
• Certifications: GCIH, GCFA, GCIA, GNFA, or equivalent advanced forensic 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 $144,000.00 - $180,00.00. 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.

We're looking for a Network Systems Engineer to join our team. You will have expertise in Operational Technology (OT) networks and SCADA systems ensuring the design, security, and reliability of our industrial control environments. You will ensure that our OT infrastructure and SCADA platforms are resilient, secure, and integrated with enterprise systems.

You will work onsite at our Devens, MA office, reporting into the Director of Information Technology.

Primary Responsibilities

OT Network and SCADA Systems

• Design, implement, and support secure available OT network architectures that underpin SCADA and industrial control systems

• Install, configure, and troubleshoot SCADA components, including HMIs, data historians, and RTUs

• Ensure communication across industrial protocols such as Modbus, DNP3, OPC, and industrial Ethernet technologies such as Ethernet/IP and PROFINET

• Partner with engineering, operations, and vendors to integrate and improve SCADA systems within the broader network infrastructure

• Implement and maintain cybersecurity controls tailored to OT environments, including segmentation, monitoring, and access management

• Be a subject matter expert on OT and SCADA systems, standards adoption, and continuous improvement

Network Design and Implementation

• Design and deploy resilient and secure network architectures, including segmentation strategies, VLANs, firewall policies, and access controls

• Collaborate with IT and OT partners to define requirements and ensure understanding of industry standards and regulatory frameworks

• Configure and maintain network infrastructure, including industrial and enterprise-grade switches, routers, and firewalls

Data Center and Cloud Infrastructure

• Support data center environments, including VMware, Windows, and Linux systems

• Contribute to cloud infrastructure management across Azure and AWS

• Help design and implement identity and access management solutions across IT and OT systems

• Ensure backup, disaster recovery, and business continuity capabilities

Documentation and Knowledge Sharing

• Develop detailed documentation, including network diagrams, configurations, SOPs, and troubleshooting guides

• Provide training and guidance to IT and engineering teams on OT networking, SCADA systems, and secure data practices

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field

• 8+ years of experience in network engineering, with exposure to OT environments

• Experience designing and implementing OT and enterprise network infrastructure

• Hands-on experience with Fortinet and Cisco networking and security platforms, including FortiGate firewalls, FortiManager, and Cisco switches/routers

• Design and operate segmented OT networks using Fortinet and Cisco solutions, including VPNs, secure remote access, and zero-trust architectures

• Understanding of OT cybersecurity principles, including segmentation, intrusion detection, and secure remote access

• Experience with industrial networking equipment and technologies

• Knowledge of OT security standards and frameworks such as NIST SP 800-82 and IEC 62443

• Experience supporting and troubleshooting SCADA systems in production environments

Preferred Qualifications

• Expertise in OT protocols and SCADA architectures, with the ability to design and improve complex industrial communication systems

• Experience architecting zero-trust or segmented networks across IT and OT domains

• Familiarity with power grid or energy sector control systems

• Experience with DevOps, DevSecOps, or automation in infrastructure environments

• Database and data management experience, concerning industrial data systems

• Relevant certifications such as GICSP or CISSP, or vendor certifications such as CCNP/CCIE or Fortinet NSE

   

Compensation and Benefits | P4 #LI-Onsite

We're looking for a Network Systems Engineer to join our team. You will have expertise in Operational Technology (OT) networks and SCADA systems ensuring the design, security, and reliability of our industrial control environments. You will ensure that our OT infrastructure and SCADA platforms are resilient, secure, and integrated with enterprise systems.

You will work onsite at our San Jose, CA office, reporting into the Director of Information Technology.

Primary Responsibilities

OT Network and SCADA Systems

• Design, implement, and support secure available OT network architectures that underpin SCADA and industrial control systems

• Install, configure, and troubleshoot SCADA components, including HMIs, data historians, and RTUs

• Ensure communication across industrial protocols such as Modbus, DNP3, OPC, and industrial Ethernet technologies such as Ethernet/IP and PROFINET

• Partner with engineering, operations, and vendors to integrate and improve SCADA systems within the broader network infrastructure

• Implement and maintain cybersecurity controls tailored to OT environments, including segmentation, monitoring, and access management

• Be a subject matter expert on OT and SCADA systems, standards adoption, and continuous improvement

Network Design and Implementation

• Design and deploy resilient and secure network architectures, including segmentation strategies, VLANs, firewall policies, and access controls

• Collaborate with IT and OT partners to define requirements and ensure understanding of industry standards and regulatory frameworks

• Configure and maintain network infrastructure, including industrial and enterprise-grade switches, routers, and firewalls

Data Center and Cloud Infrastructure

• Support data center environments, including VMware, Windows, and Linux systems

• Contribute to cloud infrastructure management across Azure and AWS

• Help design and implement identity and access management solutions across IT and OT systems

• Ensure backup, disaster recovery, and business continuity capabilities

Documentation and Knowledge Sharing

• Develop detailed documentation, including network diagrams, configurations, SOPs, and troubleshooting guides

• Provide training and guidance to IT and engineering teams on OT networking, SCADA systems, and secure data practices

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field

• 8+ years of experience in network engineering, with exposure to OT environments

• Experience designing and implementing OT and enterprise network infrastructure

• Hands-on experience with Fortinet and Cisco networking and security platforms, including FortiGate firewalls, FortiManager, and Cisco switches/routers

• Design and operate segmented OT networks using Fortinet and Cisco solutions, including VPNs, secure remote access, and zero-trust architectures

• Understanding of OT cybersecurity principles, including segmentation, intrusion detection, and secure remote access

• Experience with industrial networking equipment and technologies

• Knowledge of OT security standards and frameworks such as NIST SP 800-82 and IEC 62443

• Experience supporting and troubleshooting SCADA systems in production environments

Preferred Qualifications

• Expertise in OT protocols and SCADA architectures, with the ability to design and improve complex industrial communication systems

• Experience architecting zero-trust or segmented networks across IT and OT domains

• Familiarity with power grid or energy sector control systems

• Experience with DevOps, DevSecOps, or automation in infrastructure environments

• Database and data management experience, concerning industrial data systems

• Relevant certifications such as GICSP or CISSP, or vendor certifications such as CCNP/CCIE or Fortinet NSE

   

Compensation and Benefits | P4 #LI-Onsite

About the Team

Our DevOps/SRE team runs an active-active, multi-cloud platform on AWS and GCP to keep business‑critical systems highly available, secure, and fast at internet scale. We focus on reliability and automation, engineering systems that perform under stress and continuously improve. We are engineers who own outcomes end‑to‑end—managing priorities, communicating clearly with technical and non‑technical stakeholders, and delivering impact across the organization. If you thrive on architecting at scale, automating everything you can, and turning complex infrastructure into reliable, well‑documented systems, you’ll feel right at home here.

About the Role

We are seeking a talented and experienced DevOps/SRE (Site Reliability Engineering) Senior Software Engineer to join our dynamic team. The ideal candidate will have a strong background in DevOps practices, cloud infrastructure management, automation, and team leadership skills. If you have a consistent track record of architecting and building large-scale systems; enjoy solving intriguing system challenges at internet-scale; 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!

For California Only - The estimated annual salary for this position is between $280,000 - $380,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing  

• You will design, implement and maintain an active-active multi-cloud infrastructure on AWS and GCP supporting business-critical systems ensuring high availability and performance with automation, delivering systems that stays reliable and performs under stress
• Collaborate with your peers through code-reviews, ensuring best practices and aligning on technical standards to deliver consistent, high-quality solutions
• Collaborate with security teams to ensure the integrity and security of infrastructure and applications including implementing security best practices and compliance standards 
• Manage individual project priorities, deadlines, and deliverables by leveraging agile methodologies and maintaining clear communication channels 
• Lead incident response efforts by triaging issues effectively, collaborating closely with cross-functional teams to resolve them promptly and minimize downtime
• Implement effective incident management processes and post-incident reviews  
• Identify performance bottlenecks through detailed monitoring and profiling and optimize system resources by fine tuning configurations, scaling infrastructure and addressing latency issues
• Drive continuous improvement initiatives by automating repetitive tasks, refining workflows and proactively addressing technical debt within the team, while driving enhancements across the organization
• Maintain comprehensive documentation of systems, processes, and procedures while fostering 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 
• BS Degree in Computer Science or Equivalent 
• Experience with a number of the following: Kubernetes, Docker, Service Mesh such as Istio, Envoy, Linkerd, Solo & ECS 
• Experience in cloud-focused software development, preferably in Go, Python, or other object-oriented programming languages 
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation 
• Experience with CI/CD automation including Gitlab pipelines and other related tools
• Solid understanding of networking, security, and compliance principles including the intricacies of multi-tenant architecture and secure network configuration in cloud environments
• Strong understanding of distributed systems, microservices architecture, and cloud-native technologies 
• Strong hands-on experience with cloud platforms such as AWS, GCP or Azure 
• Proven track record of implementing scalable, high-performance infrastructure solutions in a fast-paced dynamic environments 
• 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 
• The drive and self-motivation to understand the intricate details of a complex infrastructure environment 
• Certifications in relevant technologies such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Certified Information Systems Security Professional (CISSP) are preferred 

#LI-DH2

Principal Software Engineer – Capella Control Plane

Location: San Jose, California (Hybrid - in office at least 3 days/week)

Couchbase Capella is a fully managed Database-as-a-Service (DBaaS) platform that powers mission-critical applications with a modern, distributed NoSQL database. The Control Plane team builds and operates the foundational systems that deliver reliability, scalability, and seamless experiences across cloud environments.

We are seeking a Principal Software Engineer to serve as the cross-team technical authority for Capella's Control Plane — the platform that orchestrates SaaS interactions with major cloud providers (AWS, GCP, Azure). This role is central to the evolution of Capella's multi-cloud control plane and will shape the systems that provision, secure, and operate the platform at scale. You will set a durable technical direction with organization level influence, be accountable for production outcomes, and drive solutions to ambiguous, high-stakes problems through hands-on development and deep distributed systems expertise.

Key Responsibilities

• Architecture & Technical Direction: Define and evolve the control plane architecture for scalability, reliability, performance, and security.
• Hands-on Development: Develop and deliver production-quality Golang code for critical Capella platform services. Establish and enforce coding standards, CI/CD practices, and design patterns.
• Multi-Cloud Infrastructure: Architect and optimize multi-cloud deployments, networking models, VPC/VNet peering, load balancing, and secure connectivity across AWS, GCP, and Azure. Build and scale multi-tenant control plane services that orchestrate cluster lifecycle across providers.
• Reliability & Observability: Define and implement monitoring, logging, tracing, and alerting standards for operational excellence. Own accountability for production outcomes including root cause analysis and long-term remediation of critical issues.
• Platform Capabilities: Lead design and delivery of core platform capabilities such as provisioning, lifecycle management, and security controls. Tackle ambiguous distributed systems challenges involving scaling, networking, and performance.
• Cross-Team Leadership: Exercise cross-team technical authority, partnering with product, SRE, Quality Engineering, operations, and global engineering teams across geographies to align technical direction with business goals. Maintain working knowledge of web UI architecture and partner effectively with frontend engineers on end-to-end control plane workflows.
• Mentorship & Culture: Guide engineers across levels, perform code reviews, and set a high bar for engineering culture.
• Innovation: Research and evaluate cloud-native technologies, frameworks, and architectures for Capella's evolution.

Must-Have Skills & Experience

• Expertise in Golang with proven experience building distributed, cloud-native systems.
• Strong knowledge of system design, high availability, fault tolerance, and performance tuning.
• Hands-on experience with cloud infrastructure (AWS, GCP, Azure), including networking (VPCs, routing, load balancing, firewalls, private connectivity) and Kubernetes/container orchestration.
• Experience designing and building control plane and platform components for SaaS platforms at scale.
• Proven experience leading cross-team architecture and platform decisions in complex, ambiguous cloud and distributed systems environments.
• Working knowledge of web UI architecture and ability to partner effectively with frontend engineers on end-to-end control plane workflows.
• Experience mentoring engineers and driving org-level influence on engineering culture and standards.

Nice-to-Have Skills & Experience

• Experience with DBaaS platforms or large-scale database infrastructure.
• Exposure to AI/ML integrations within SaaS platforms (e.g., model serving, vector databases, AI-assisted workflows).

Education & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 12+ years of professional software engineering experience, with at least 5+ years in cloud/distributed systems.
• Prior principal or staff engineer-level experience leading architecture and platform initiatives in cloud infrastructure or large-scale SaaS environments.

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is seeking an experienced AI Tooling Engineer to enhance our internal, web-based data and AI training tools. This role focuses on developing intuitive web interfaces that support key AI research functions, including robot data annotation, training dataset visualization, and experiment tracking. The ideal candidate has experience building rich, interactive web interfaces using React and TypeScript.

Responsibilities

• Design and build intuitive web interfaces for robot data annotation, datasets visualization, and experiment tracking
• Utilize data-driven techniques to optimize interfaces for efficiency and fast iteration cycles
• Integrate AI models to automate manual tasks
• Work together with AI researchers, robot operators, and annotators to support new user experiences

Requirements

• Strong software engineering fundamentals
• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
• Minimum of 4 years of professional, full-time experience building rich, interactive web interfaces
• Proficiency in React and TypeScript

Bonus Qualifications

• Experience using data stores (Postgres, MySQL, ElasticSearch, Redis, etc.)
• Experience managing cloud infrastructure (AWS, Azure, GCP)
• Experience with Tailwind CSS
• Experience building data annotation and dataset management tools.
  
  

The US base salary range for this full-time position is between $150,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system.

Responsibilities

• Design, deploy, and maintain Figure's training clusters
• Architect and maintain scalable deep learning frameworks for training on massive robot datasets
• Work together with AI researchers to implement training of new model architectures at a large scale
• Implement distributed training and parallelization strategies to reduce model development cycles
• Implement tooling for data processing, model experimentation, and continuous integration

Requirements

• Strong software engineering fundamentals
• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
• Experience with Python and PyTorch
• Experience managing HPC clusters for deep neural network training
• Minimum of 4 years of professional, full-time experience building reliable backend systems

Bonus Qualifications

• Experience managing cloud infrastructure (AWS, Azure, GCP)
• Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
• Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
  
  

The US base salary range for this full-time position is between $150,000 - $350,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.

Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.

Responsibilities

• Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
• Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
• Implement optimal data transmission and storage solutions for all stages of Figure’s data pipeline from recording to neural network training
• Work together with AI researchers to support new kinds of data workflows

Requirements

• Strong software engineering fundamentals
• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
• Minimum of 4 years of professional, full-time experience building reliable backend systems
• Experience with Linux and command line tools
• Experience with Python
• Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).

Bonus Qualifications

• Experience managing cloud infrastructure (AWS, Azure, GCP)
• Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
• Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
• Experience building data annotation and dataset management tools.
  
  

The US base salary range for this full-time position is between $150,000 - $350,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

About the role

Muon is looking for a Software Engineer (Back-end) to join our Ground Software team. The ideal candidate is a self-motivated and versatile software engineer who is excited to build our cloud infrastructure, web services and applications like mission planning & control software, ground station integrations, and tools to gain insight into Earth’s complex systems. Our team broadly owns all the software that enables us to communicate with the satellite, as well as customer APIs that enable multi-satellite planning and scheduling. We are fully responsible for the software we build through its full lifecycle; from implementing deployable applications, managing the infrastructure they run on, and supporting them running in production.

Responsibilities

• Build a world class Mission Planning & Control System in the cloud, using tools like Docker and FastAPI
• Participate in designing our cloud architecture: choosing which technologies we will use, how we will organize the system, and when we should build systems in-house vs buy them off the shelf, to maximize the impact of our team
• Manage the infrastructure we will use to deploy our cloud applications, using tools like Kubernetes, Helm, and AWS Lambda
• Build the spacecraft-to-cloud data integration: processing and archiving the command history and telemetry, using tools like Kafka, InfluxDB, and Grafana
• Build the APIs and tooling to integrate our cloud with remote antenna ground station networks
• Architect systems to achieve low latency and fault tolerance
• Deploy infrastructure and tools to workstations, on-premises data centers, and cloud environments

Qualifications

• B.S., M.S., or Ph.D. in computer science or related field, or equivalent experience
• 4+ years experience as a software engineer in a team environment
• Strong programming experience in Python for web development
• Experience with cloud-native software development in at least one major cloud provider (AWS, GCP, Azure) using containers
• Excellent communication and presentation skills
• Excited to work in a fast-paced environment with new opportunities each week

Nice-to-have Skills

• Experience with the AWS / Govcloud ecosystem
• Experience managing CI/CD in cloud-based development, staging, and production environments
• Have a passion for simple architectures and clean APIs
• Strong Linux fundamentals and comfortable with Linux development and deployment environment
• IT and Information security (authentication, encryption)
• Experience smoothly deploying continuously evolving data services to customers

Salary

The salary range for this role is $156,000 - $186,000 plus a competitive equity grant and comprehensive benefits package. Final compensation will be based on skills, qualifications, experience, and geographic location as assessed during the interview process.

Position Overview
Trackonomy is pioneering the next-generation operating system for the connected world, leveraging smart labels, multi-radio IoT devices, agent-based intelligence, and the Sentient AI platform to deliver true end-to-end visibility, automation, control, and remediation across global supply chains. Our vertically integrated solutions transform physical assets into intelligent, communicative objects, addressing mission-critical challenges in logistics, healthcare, cold chain, industrial operations, manufacturing, and beyond.

Inspired by industry-leading transformations in AI-driven development—as highlighted by visionaries including Microsoft CEO Satya Nadella—this role consolidates traditionally siloed functions into a unified Full-Stack Builder position. The Full-Stack Builder assumes comprehensive ownership of features, modules, or customer-facing capabilities within Trackonomy’s platform ecosystem. By harnessing advanced AI tools for code generation, design automation, reasoning, testing, and orchestration, one individual can span product strategy through full implementation and deployment, dramatically accelerating innovation in real-world IoT and AI applications.

This represents a profound evolution from prior specialized roles, collapsing boundaries to enable faster iteration, reduced coordination overhead, and greater individual impact in a high-stakes domain where physical-world connectivity meets enterprise-scale intelligence.

Roles Combined and Relation to Prior Positions
The Full-Stack Builder integrates the following disciplines, which were historically distributed across separate teams:

• Product Management: Previously a dedicated role focused on market needs, prioritization, roadmaps, and metrics definition. Now embedded to ensure tight alignment between vision and execution.
• Program Management / Delivery Coordination: Once handled by program managers overseeing timelines, dependencies, and cross-functional synchronization. Now internalized to support autonomous, rapid delivery cycles.
• UX/UI Design: Traditionally the domain of specialized designers creating wireframes, prototypes, and interaction patterns. AI-assisted tools now enable builders to own intuitive, user-centric interfaces for dashboards, mobile apps, and operational controls.
• Front-End Engineering: Focused on client-side technologies (e.g., responsive web applications, real-time visualizations of asset tracking data). Now part of end-to-end ownership.
• Back-End Engineering: Encompassing APIs, data processing, scalable cloud services, IoT data ingestion, event-driven architectures, and integration with hardware/firmware layers. This remains core but is augmented by AI to handle complexity efficiently.
• AI/ML and Platform Integration: Incorporating agent-based intelligence, predictive analytics, and dynamic workflows—elevating the role to include orchestration of AI-driven features unique to Trackonomy’s Sentient platform.

In contrast to traditional full-stack developers (who focused primarily on coding across front- and back-end), this position expands scope to include strategic product definition, user research, design authority, and program-level execution. It differs from classical product owners or architects by demanding hands-on implementation across the stack, empowered by AI to manage what once required large teams.

Key Responsibilities

• Own end-to-end development of platform features, such as real-time asset visibility dashboards, autonomous remediation workflows, predictive alerting systems, or customer-specific ERP extensions.
• Define product vision, user requirements, success criteria, and prioritization for assigned capabilities, grounded in supply chain and operational realities.
• Conduct rapid prototyping, user validation, and iteration using AI-accelerated design and development tools.
• Architect and implement full-stack solutions, including intuitive front-end interfaces for operational insights, robust back-end services for processing IoT telemetry, secure APIs, data models, and integrations with Trackonomy’s hardware ecosystem.
• Leverage AI agents for code generation, debugging, automated testing, UI prototyping, and reasoning over complex operational scenarios.
• Manage delivery timelines, technical dependencies, risk mitigation, and deployment to production environments with high reliability standards.
• Ensure solutions meet stringent requirements for scalability, security, low-latency real-time processing, and compliance in regulated industries (e.g., healthcare, logistics).
• Collaborate in small, high-velocity pods to deliver customer value rapidly while upholding quality, performance, and innovation standards.
• Contribute to evolving AI-native development practices tailored to Trackonomy’s mission of connecting and intelligentizing the physical world.

Required Background and Qualifications
To succeed in this demanding, multifaceted role, candidates must demonstrate proven versatility across multiple domains, combined with strong AI fluency and domain affinity:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field (or equivalent demonstrated experience).
• At least 7–10 years of professional experience, with substantial hands-on contributions in at least three of the following: product management, UX/UI design, front-end development, back-end/systems engineering, IoT/platform development, or AI/ML application building.
• Track record of independently owning and shipping complete features, products, or customer solutions from concept through production, with measurable business or operational impact.
• Strong technical proficiency in modern stacks relevant to enterprise IoT and real-time platforms (e.g., TypeScript/JavaScript, React or equivalent frameworks, Node.js/Python/Go, cloud-native services such as AWS/Azure/GCP, databases including time-series and NoSQL, event streaming technologies).
• Practical experience with IoT ecosystems, sensor data processing, real-time analytics, or supply chain/logistics applications is highly desirable.
• Demonstrated mastery of AI-augmented workflows (e.g., GitHub Copilot, agentic tools, LLM-based reasoning, automated testing frameworks) to achieve 5–10x productivity gains.
• Excellent systems thinking and ability to reason across hardware-software boundaries, data flows, user experience, and business outcomes.
• Superior problem-solving, communication, and collaboration skills, with the capacity to articulate complex trade-offs and decisions clearly.

Preferred Qualifications

• Prior experience in supply chain visibility, logistics technology, cold chain monitoring, asset tracking, or enterprise resource planning (ERP) systems.
• Exposure to agent-based AI architectures, edge intelligence, or embedded systems integration.
• Portfolio showcasing end-to-end ownership of shipped IoT/platform features.
• Familiarity with DevOps, CI/CD, scalable microservices, and security best practices in mission-critical environments.

What We Offer
At Trackonomy, this role positions you at the forefront of redefining operational intelligence in the connected world. You will operate as an empowered builder, directing AI capabilities to solve pressing global challenges with unprecedented speed and precision. Join a mission-driven unicorn recognized by the World Economic Forum, where your contributions directly advance end-to-end visibility, autonomous operations, and productivity for enterprises worldwide.

Trackonomy is an equal opportunity employer committed to fostering diversity, equity, and inclusion.

About the Role

We are seeking an experienced, highly motivated Senior Full-Stack Engineer to join our growing team. The ideal candidate will be a strong collaborator with deep expertise in modern application development technologies and practices. The focus of this role is on building and maintaining robust, scalable, and high-performance applications across the full stack using TypeScript and some Python. Some experience with React and/or Angular would be helpful.

This role requires not only technical proficiency but also a forward-thinking perspective on the role of Artificial Intelligence (AI) in modern software development. Candidates must demonstrate an active engagement with AI tools, understanding their practical use, current limitations, and the strategic opportunities they present for the engineering discipline.

Mainly remote work: seeking candidates in the greater Los Angeles area to mainly work remotely with some on-site work required at times.

Key Responsibilities

• Lead the design, development, and deployment of complex features across both the frontend and backend of our clients’ products.
• Write clean, maintainable, and well-tested code using TypeScript for type safety and scalability on both the client and server.
• Collaborate with product managers, designers, and other engineers to translate business requirements into technical solutions.
• Collaborate with other team members to set technical standards, establish best practices, and make architecture decisions.
• Actively research and evaluate new technologies, tools, and methodologies to improve the engineering process.
• Demonstrate and articulate a practical understanding of AI tools (e.g., planning, code generation, intelligent testing frameworks) in daily engineering tasks, including their effective application and inherent limitations.

Qualifications

• 5+ years of experience in full-stack software development.
• Expert-level proficiency with TypeScript, including complex type definitions and advanced language features.
• Strong experience with server-side development, including building and consuming RESTful APIs or GraphQL services (proficiency with Hono Framework is a plus).
• Proficiency with relational and non-relational databases
• Familiarity with modern CI/CD pipelines, containerization (Docker), and cloud platforms (primarily AWS, with experience in GCP and/or Azure a plus).
• Preferred, but not required: Proficiency with React and its ecosystem (e.g., Hooks, Context API, Next.js, or similar frameworks). Experience with Angular (any version) in a professional capacity is a plus.

AI and the Evolution of Software Engineering & Ops

All candidates must be prepared to discuss and demonstrate the following during the interview process:

• Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
• Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
• Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
• Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.

Salary Range $135,000 - $175,000

Application Process

A cover letter is required. Your cover letter should be informed by the “AI and Forward-Looking Requirements” section above.

The hiring process includes:

• Initial Screening Call
• A Technical Assessment sent by email and returned by email
• A Panel Interview

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Site Reliability Engineer to own our internal systems infrastructure. This role is responsible for setting up and managing cloud and on-prem infrastructure to deliver highly available, reliable, and automated systems.

Responsibilities:

• Be the go to person for mission critical infrastructure enabling critical operations such as Source Configuration Management, CI/CD systems, software distribution, supplier portals, manufacturing and more.
• Migrate SaaS to self-hosted solutions to enhance security and reliability.
• Implement monitoring and alerting systems, and define incident response plans and runbooks.
• Reduce human workload through automation to automate deployment and scaling.
• Establish strong relationships with stakeholders to identify infrastructure needs and establish Service Level Objectives.
• Use a data driven approach to demonstrate service robustness and track optimization work.
• Partner with the security team to ensure that security remediations and updates are applied in a timely manner.

Requirements:

• Strong experience with Linux/Unix systems administration
• Proficiency in programming/scripting
• Extensive experience with cloud platforms (Azure, AWS, GCP) and on-prem hardware architectures
• Experience designing, deploying, and operating high-availability, fault-tolerant, and distributed systems.
• Mastery of infrastructure as code (Terraform, CloudFormation, Ansible…)
• Familiarity with monitoring, logging, and alerting tools (Prometheus, Grafana, Datadog…)
• Solid understanding of networking fundamentals (TCP/IP, DNS, HTTP, load balancers, firewalls)
• Experience defining Service Level Objectives (SLO), developing runbooks/incident response plans, facilitating post-mortems and managing systems assets.
• Ability to work in cross-functional teams with developers, infra, and product teams
• Excellent verbal and written  communication skills

The US base salary range for this full-time position is between $175,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.