Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.

You’ll be joining a highly motivated team that is building the next generation of distributed storage services.

What You’ll Do

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Senior Platform Engineer (Storage)   

Sony Interactive Entertainment 

At PlayStation, we're leading the revolution in cloud gaming as we push the boundaries of what's possible! Would you like to use your skills, time, and passion for meaningful projects that are building the future? We're looking for a Platform Engineer with proven experience in modern software delivery who loves crafting efficient, flexible and low friction systems to manage workloads at a global scale. If that sounds like something you would love to do, we want to hear from you! Come help us deliver a unique gaming experience to millions of players!

Responsibilities

• Managing, deploying and maintaining large scale distributed Ceph storage solutions

• Ensure high availability and performant storage by providing troubleshooting and debugging support, conducting performance tuning and continuously improving data integrity and reliability

• Evolve processes and best practices to maximize performance and cost efficiency  

• Staying up to date with Ceph/Storage current developments and experimental features. Share findings and consult architecture changes with the team

• Analyze storage trends and participate in capacity planning

Requirements

• Experience managing and administrating Ceph Storage, object and block

• 5+ years of experience with Linux systems tooling and troubleshooting in networking, configuration and deployment

• First hand experience with industry standard storage protocols

• Strong Kubernetes skills

• Proven ability to mentor Junior Members of the team

• Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.

Skills & Knowledge

• Ceph & Rook expertise managing storage clusters with a deep understanding of the architectural and operational workings

• Experience in designing and implementing large scale globally distributed storage systems

• Scripting and Automation experience in Bash, Python or Go

• Ability to support engineers with solving problems in integrating their systems with core Kubernetes components is preferred

• Experience with Infrastructure as Code and deployment tooling (Terraform, Ansible)

Additional Attributes

• Strong communication and customer service skills

• Experience with Kubernetes development including operators and controllers is a plus

• Experience with collaboration in a distributed team across multiple timezones

• High energy, driven to positively impact the business with customer-first thinking

• Must be self starter who understands that ownership means distributing the knowledge of your work so that everyone benefits

• Being a Contributor to Open Source Software is a plus

At Navan, “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going.

We are constantly striving to make the most reliable and scalable systems possible to ensure that our services are available to our travelers when they need it most. With our exponential growth, we have many exciting challenges ahead and we’re looking for a passionate Site Reliability Engineer to join our team in Dallas, TX or Austin, TX. As an SRE you will design and develop tooling, automation and infrastructure services that power the Navan services, used by thousands of travelers on a daily basis.  You will work closely with development teams, release and productivity teams and security teams to identify customer needs and build innovative solutions to solve them. 

You will work across a vast array of systems and technologies, aiming to build an autonomous, monitored, fault-tolerant infrastructure that is optimized for both simplicity and uptime. You will collaborate with the backend and frontend engineering teams to ensure that product solutions are scalable, efficient, and reliable. You will design infrastructure to support our massive growth and work with the team to maintain the highest level of service.

What You'll Do:

• Building a fast moving, high growth service. Navan is revolutionizing travel and expense services for the enterprise, and the product is evolving quickly. You are comfortable in a startup environment, enjoy seeing the product take shape, and have strong ownership of the success of your services.
• Designing, implementing and operating cloud infrastructure. You’re a fit for us if you think in terms of infrastructure as code, deployment pipelines, and building the guardrails to make going fast also going safely.
• Identifying reliability anti-patterns and solving them systemically. You dive deep into the data to evaluate the health of your systems, and you use it to improve visibility and reliability across the fleet of services.
• Finding and automating the toil out of our processes. You’d prefer to automate it entirely, or build a tool to empower your users rather than be the gatekeeper to the tool.
• Leveraging AI tools and platforms in your daily work to achieve autonomous operations, reduce toil, and improve system observability.
• Defining and driving the adoption of system reliability standards, including formalizing SLO/SLI frameworks, observability standards, and blameless post-mortem practices across multiple engineering teams.
• Driving the adoption of AI-assisted developer tools and platforms to increase engineering productivity, enforce code quality standards, and enable real-time architectural validation.

What We’re Looking For:

• 5+ years of progressive experience as a Senior SRE or DevOps Lead (or equivalent role)
• 2+ years of experience in working on a production, 24x7 product environment
• Passionate about solving problems and learning new tools and technologies
• Excellent communication skills working with stakeholders and domain experts across the company to design solutions to user problems
• Thrive in a fast-paced environment 
• Demonstrated experience mentoring and leading junior and mid-level engineers, and acting as a technical owner for cross-functional infrastructure projects.
• Operate with a strong sense of ownership demonstrated through shipping production-quality code and infrastructure equipped with testing, monitoring and documentation
• Hands-on operational experience with Java based applications and services including JVM profiling and performance tuning (python, Node.js and Go are a plus)
• Hands-on experience building and operating distributed systems in a public cloud environment (preferably AWS), using CI/CD to deploy, manage and operate production systems, focusing on tooling and automation using tools such as maven and Jenkins.
• Hands-on experience with microservice architecture and related reliability and resiliency patterns such as throttling, queueing, and retries
• Hands-on experience with writing Infrastructure as Code in Terraform or Cloudformation or similar tools
• A passion for automating away everything, using scripting languages such as python, bash groovy (we prefer lazy engineers)
• Built, using, and automating monitoring systems such as NewRelic, DataDog, SignalFX, Kibana,
• Hands-on experience deploying, operating, and monitoring production-grade AI/ML microservices (e.g., RAG pipelines, agentic systems) on cloud platforms like AWS Fargate/ECS.
• Experience leveraging AI/LLM platforms (e.g., Gemini, Braintrust) and managing their secrets and infrastructure using Infrastructure as Code (Terraform) and AWS SSM.
• Demonstrated ability to integrate AI-specific telemetry and advanced observability practices to enable predictive insights and systemic root-cause analysis.

JOB SUMMARY

Apptronik is seeking a SimOps Engineer to architect and maintain the large-scale simulation infrastructure required for Apollo, our general-purpose humanoid robot. In this role, you will apply high-fidelity simulation rigor to humanoid robotics, managing the lifecycle of virtual environments used for locomotion, dexterous manipulation, and synthetic data collection. You will build the scalable frameworks and automated pipelines that allow our teams to perform system-level optimization and reliability analysis, ensuring that virtual testing accurately mirrors the real-world physical performance of Apollo.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Humanoid Simulation Frameworks: Architect and implement scalable, highly-available simulation frameworks. These should support high-fidelity humanoid dynamics, including complex joint interactions and balance controllers, while enabling domain randomization and synthetic data generation.
• HPC & Cloud Orchestration: Deploy and manage High-Performance Computing (HPC) clusters (e.g., GCP, on-prem) to enable sub-24-hour turnaround for massive, ad-hoc simulation requests and parallelized training workloads.
• Metrics & Visualization: Establish robust observability and monitoring to provide insight into simulation health, utilization, and performance.
• Custom Tooling: Develop specialized tools and dashboards (e.g., using Python, Grafana, FastAPI, or Dash) to visualize complex simulation results that require custom interaction or specialized plotting.
• Automated Data Pipelines: Create automated pipelines to extract, transform, and load (ETL) simulation data for large-scale training and performance benchmarking.
• CI/CD & Sim-in-the-loop Testing: Establish CI/CD pipelines for automated code generation and Simulation-in-the-Loop performance benchmarking to catch regressions early in the development cycle.

SKILLS AND REQUIREMENTS

• Robotics Simulation: Expertise in tools such as IsaacSim/IsaacLab, MuJoCo, Gazebo, Omniverse.
• Monitoring & Dashboards: Proficiency with tools like Grafana for infrastructure and telemetry visualization.
• High-Performance Computing: Demonstrated experience managing GPU-accelerated HPC clusters on cloud platforms (e.g., AWS/GCP) or on-prem systems.
• Programming Proficiency: Advanced Python or C++ skills; experience with web frameworks for building internal research tools is a plus; experience with ROS/ROS2 is a plus.
• Automation: Hands-on experience with GitLab, Jenkins, or GitHub Actions for automating software builds and simulation testing.
• Infrastructure as Code (IaC): Comfort deploying IaC using tools like Kubernetes, Helm, Terraform, Ansible, Docker.
• System Optimization: Proven ability to conduct system-level optimization for complex robotic architectures to identify high-performance hardware/software solutions.

EDUCATION and/or EXPERIENCE

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 5 years of professional, full-time experience in simulation or infrastructure engineering, with a track record of improving simulation through automation. 

PHYSICAL REQUIREMENTS 

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

We are seeking an experienced Site Reliability Engineer to own and maintain the deployment of our cloud-based infrastructure to customer sites. In this role, you will work closely with our Applications Engineers, IT, and software teams to ensure the smooth deployment of our solution which collects training data and deploys models to real-time robotic systems. Providing a reliable framework will accelerate progress integrating Google DeepMind’s Gemini Robotics Model to humanoid robot hardware.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Partnering with customers and Applications Engineers to remove roadblocks to deployment success
• Writing and fixing Infrastructure as Code (Terraform, Helm, Ansible)
• Developing and maintaining code in Python / Typescript
• Troubleshooting networking, performance, and security challenges
• Collaborating with  engineering and product teams to shape improvements
• Responding to outages, participating in on-call rotations and traveling occasionally to customer sites to support deployment and integration

SKILLS AND REQUIREMENTS

• Strong communication skills, customer empathy and flexibility to adapt
• Hands-on Linux systems engineering and networking experience
• Proficiency with Infrastructure as Code tools (Terraform, Helm, Ansible)
• Development experience in Kubernetes / Python / Typescript / C++
• Experience creating intuitive and high-utility dashboards and vizualizations (Grafana)
• Integrating real-time monitoring and alerting (eg PagerDuty)
• Takes initiative and seeks ownership of the end-to-end infrastructure solution
• Willingness to travel as needed for client support

EDUCATION and/or EXPERIENCE

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 5 years of professional, full-time experience building and maintaining reliable, scalable systems.

PHYSICAL REQUIREMENTS 

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

Apptronik is seeking an experienced Security Engineer to define and implement the security posture for our humanoid robotic deployments. In this role, you will own the unified security strategy for hybrid operations, ensuring that Apollo’s data and control systems remain secure across both cloud environments and on-premise customer sites. You will be responsible for safeguarding the infrastructure that collects sensitive training data and manages real-time robotic systems, focusing on data encryption, secure remote access, and robust identity management.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Unified Security Strategy: Develop and maintain a comprehensive security framework that spans hybrid cloud and on-premise industrial environments.
• Data Encryption: Investigate and implement end-to-end encryption for data at rest and in transit, specifically protecting robotic telemetry and video training data.
• Access Control: Design and manage Role-Based Access Control (RBAC) and modern authentication protocols (e.g., OIDC, SAML) across the fleet and developer platforms.
• Secure Remote Access: Establish secure, auditable remote access solutions for engineers to troubleshoot robots at customer sites without compromising facility network integrity.
• Network Security: Troubleshoot and harden networking configurations, addressing performance and security challenges in complex industrial environments.
• Infrastructure as Code (IaC): Audit and secure infrastructure deployments using tools like Terraform, Helm, and Ansible.
• Incident Response: Participate in on-call rotations and respond to security-related outages or vulnerabilities.
• Compliance & Auditing: Work closely with customer IT teams to ensure Apptronik's solution meets stringent enterprise security and safety requirements

SKILLS AND REQUIREMENTS

• Security Expertise: Proven experience with encryption standards, RBAC, and multi-factor authentication (MFA) systems.
• Systems Engineering: Hands-on Linux systems engineering and networking experience.
• Infrastructure as Code: Proficiency with IaC tools such as Terraform, Helm, and Ansible.
• Cloud & Containers: Development experience in Kubernetes and managing security within containerized environments.
• Programming: Proficiency in Python or Go for building security tooling and automation.
• Communication: Strong communication skills and customer empathy to navigate facility-specific security restrictions.
• Ownership: A self-starter who takes initiative and seeks ownership of the end-to-end security solution.

EDUCATION and/or EXPERIENCE

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Experience: Minimum of 5 years of professional experience building and maintaining reliable, scalable, and secure systems.
• Technical Background: Demonstrated experience in distributed systems security and cloud-native infrastructure

PHYSICAL REQUIREMENTS 

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

Apptronik is seeking a Data Platform Engineer to join our Data Platform team. In this role, you will build and maintain the backend systems that ingest, organize, and serve the robotic telemetry, sensor, and training data used across model development, fleet analytics, and operational reporting. You will work at the intersection of robotics, cloud infrastructure, and machine learning, ensuring data is reliable, well-governed, and accessible across both cloud and hybrid deployment environments. Your work will provide critical infrastructure for improving Apollo in development and in production.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Design and maintain backend data services and pipelines for ingesting, processing, and serving telemetry, sensor, and training data generated across development and deployed fleets.
• Build robust batch and streaming data workflows that integrate on-robot data sources, cloud infrastructure, and enterprise systems.
• Develop internal APIs and platform tooling that enable machine learning, robotics, and software teams to access trusted data efficiently and securely.
• Establish data quality, lineage, and governance practices that improve confidence in datasets used for model training, analytics, and operational decision-making.
• Monitor and optimize storage systems, database performance, and resource utilization to meet scalability, throughput, and latency requirements.
• Collaborate closely with data scientists, machine learning engineers, robotics engineers, SRE, and security teams to deliver production-ready data infrastructure.
• Support secure deployment patterns including encryption, access controls, and reliable operation across cloud and hybrid environments.
• Stay current on data engineering practices, distributed systems design, and emerging technologies relevant to robotics and machine learning platforms.

SKILLS AND REQUIREMENTS

• Programming: Strong proficiency in Python; experience with Go for backend service implementation is preferred.
• Data Engineering: Experience with real-time and batch pipeline frameworks such as Kafka, Spark, Airflow, or comparable technologies.
• Databases: Strong command of relational databases such as PostgreSQL and familiarity with NoSQL stores; experience with time-series data is a plus.
• Cloud and Infrastructure: Proficiency with cloud platforms and hands-on experience with infrastructure tooling such as Terraform, Helm, or Ansible.
• Containerization: Experience with Kubernetes and Docker for deploying and scaling backend and data services.
• Security: Familiarity with encryption, RBAC, and secure service-to-service or user-to-service data access patterns.
• Monitoring: Experience building observability dashboards and alerting for data pipelines and platform services.
• API Design: Experience building REST APIs or gRPC services for data access, integration, and internal platform use.
• Preferred Qualifications:
• Experience in robotics, autonomous systems, data platforms, or machine learning infrastructure.
• Familiarity with time-series data stores such as InfluxDB or TimescaleDB for telemetry-heavy workloads.
• Experience with data catalog, lineage, or governance tooling.
• Knowledge of streaming architectures and event-driven systems in production environments.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years of professional, full-time experience in data engineering, backend engineering, or a closely related discipline.
• Experience building data pipelines or platform infrastructure used to support machine learning, analytics, or AI workflows.

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

We are looking for an experienced Senior or Staff Engineer for our SRE, InfraSec team, to guide the security of our cloud-based infrastructure. As a Staff SRE, you will be very hands-on technically while also mentoring a small team of SREs.

The InfraSec team collaborates closely with other engineering teams to ensure that our infrastructure adheres to the highest security standards. They build essential security infrastructure and implement controls that reinforce the platform’s security posture.

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions.This team is deeply involved in the technical aspects of security and the nuances of its actual implementation.

This role can sit in our New York City, Austin, Seattle or San Francisco offices on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.

Responsibilities:

Cloud Security Design and Implementation:  

• Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)

Automation and Monitoring:  

• Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection

Security Tooling:

• Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM 

Qualifications:

Experience:  

• 6+ years of experience in SRE, infrastructure engineering or similar role, with a strong focus on security work, with ideally 2+ years in a senior or staff engineering role

Security Mindset:

• A comprehensive understanding of all facets of cloud environment security, spanning from foundational OS networking layers to cloud provider configurations. Proven experience in leading projects within security-focused areas, such as runtime scanning, security observability, CSPM, and more

Cloud Expertise:  

• Strong experience with at least one cloud platform (AWS, Azure, GCP), including expertise in IAM, VPC networking, security groups, and cloud security tools (e.g., GuardDuty, Security Hub, CloudTrail)

Coding/Automation:  

• Proficiency in at least one programming language (we use Golang but are language agnostic when it comes to hiring ) and experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible) to automate security configurations and processes

Linux and Networking

• Understanding of the underlying Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems

Communication and Leadership Skills:  

• Strong ability to explain complex security concepts to both technical and non-technical teams. Ability to lead a small technical team and ensure success both meeting the team goals as well as personal growth for all team members

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1263064630

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2263171228

The Role

We are looking for a seasoned, high-impact Senior Backend Developer to join our team as a core technical driver. This isn't just a role for someone who can write code; it’s for a true architect and builder who thrives on the "0-to-1" journey. You will be instrumental in designing the backbone of a new product, turning ambitious visions into scalable, production-ready reality.

As a senior member of the team, you will navigate ambiguity with ease, owning the backend lifecycle from data modeling to cloud deployment. You’ll be a key technical voice, collaborating directly with product stakeholders to ensure our infrastructure is as robust as our ambitions.

What You'll Do

• Build the Foundation: Architect and write high-quality, maintainable backend code primarily in Python, ensuring our systems are built for scale from day one.

• Design & Deliver APIs: Own the design and implementation of RESTful APIs, focusing on elegant data modeling and secure authentication.

• Architect for the Future: Leverage serverless and event-driven architectures to build responsive, modern systems.

• Own the Infrastructure: Work hands-on with Terraform/CloudFormation to treat infrastructure as code, ensuring seamless deployments across cloud platforms.

• Champion DevOps Culture: Manage containerization (Docker/Kubernetes) and CI/CD pipelines to ensure a smooth, automated path to production.

• Solve Complex Problems: Act as a proactive troubleshooter, identifying bottlenecks and optimizing system performance across SQL and NoSQL databases.

What You Bring (Must-Haves)

• Seasoned Expertise: 5+ years of professional backend focus, with a deep mastery of the Python ecosystem (Django, Flask, or FastAPI).

• Architectural Fluency: A strong understanding of how to build for the cloud (AWS, GCP, or Azure) using event-driven and serverless patterns.

• Database Mastery: Proficiency in both relational (PostgreSQL) and non-relational (MongoDB) data stores.

• Modern Workflow Mindset: You are at home with Git, Docker, and Kubernetes, and you view CI/CD as a prerequisite, not an afterthought.

• Proactive Ownership: A "gets-it-done" attitude. You don’t wait for a ticket; you identify what needs to be built and you lead the way.

• Clear Communication: The ability to explain complex backend logic to non-technical partners and collaborate fluently in English.

What We’d Love to See (Nice-to-Haves)

• Cloud-Native Specialist: Hands-on experience specifically building and deploying within the AWS ecosystem.

• Polyglot Leanings: Proficiency in JavaScript (Node.js) to help bridge gaps across the stack.

• Community Presence: Contributions to open-source projects, technical blogs, or active participation in developer communities.

What We Offer

.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting. .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

LOCATION: Austin, Texas (Hybrid) 3 days per week

Team Description: 

The Infrastructure Team builds the foundation that enables the company to operate safely, robustly, and move at light-speed. We run a mixture of cloud-based and on-prem systems and have a user base spanning from highly technically proficient engineers to non-technical scientists and doctors; but all of them need solid systems, rugged networking, and bullet-proof software to do their jobs. This role will integrate tightly with teams across the company, and span all layers of the work environment stack, from deployment of physical hardware on the manufacturing line, to custom tooling to stream neural recordings from implants.

Tech Stack:

• Rust, Python
• Terraform
• Bazel and Nix
• Kubernetes
• GitLab CI
• AWS
• Ubuntu, Fedora

Focus:

• Developing the foundations for teams to build the software and systems required for record-breaking BCI experiences.
• Enhancing developer experience with robust tooling and build-system infrastructure.
• Building foundational infrastructure for HITL (hardware in the loop) testing across firmware, BCI, and robot teams.
• Ground-up infrastructure of on-premise solutions as well as cloud architecture.
• Foundational software engineering with a focus on serving internal software teams.

Qualifications: 

• Experience using IAC tools such as Terraform, Docker, Packer, Ansible, Cloud-Init, Kickstart.
• Working knowledge of compiled languages, ideally Rust, Go, or C/C++.
• Working knowledge of major cryptographic protocols and authentication schemes such as TLS, x509, 802.1x, U2F, SAML.
• Familiarity with modern Linux boot process, UEFI, TPM measured boot, Secure Boot, Systemd.
• Systems administration experience on Windows, macOS, and Linux.
• In-depth understanding of modern networking and common protocols.
• Ability to architect, build, and ship 0 to 1 infrastructure quickly and efficiently.

Team Description:

For Neuralink's Information Technology team, the corporate environment is production. It is where our groundbreaking research and development takes place and hosts our assembly lines, neural recording training and processing, and many other functions. The team builds critical systems and processes that safely accelerate our progress along the company's critical path.

Job Description and Responsibilities:

Neuralink is looking for a hands-on IT Systems Administrator to own the day-to-day technology experience for every employee at the company. You will be responsible for endpoint management, identity and access management, security policy enforcement, and front-line technical support across a diverse user base — from highly technical engineers to non-technical scientists and clinicians. The ideal candidate is empathetic, resourceful, and thrives in a fast-paced environment where reliable systems and excellent customer service are critical to the company’s mission.

• Provide expert end-user technical support across macOS, Windows, and Linux environments as part of a tier-1 support rotation.
• Deploy, configure, and manage endpoint devices using MDM platforms (e.g., Jamf, Intune, Kandji), including application deployment, configuration profiles, and policy enforcement.
• Administer identity provider (IDP) and IAM systems including Microsoft Entra, Google Workspace, Okta, or similar; manage user lifecycle from onboarding through off-boarding.
• Implement and enforce security policies across endpoints, SaaS applications, and corporate systems; conduct regular audits and remediation.
• Administer and maintain SaaS applications such as Google Workspace, Slack, Zoom, and other business-critical tools.
• Perform L1 and L2 network troubleshooting including connectivity issues, VLAN assignments, and Wi-Fi connectivity diagnostics.
• Manage endpoint hardware inventory including procurement, asset tagging, deployment, and lifecycle tracking.
• Develop automation and tooling using scripting (Bash, Python, PowerShell) to streamline repetitive IT operations tasks.
• Ensure compliance with HIPAA, PII handling requirements, and internal security policies through robust endpoint and access controls.
• Create and maintain documentation for systems, processes, and procedures to support knowledge sharing and business continuity.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related technical field or equivalent practical experience. 
• 3–5 years of experience providing expert-level end-user support across macOS, Windows, and Linux environments, ideally as part of a structured tier-1 support rotation
• Hands-on experience administering at least one enterprise MDM platform (Jamf, Intune, or Kandji), including application deployment, configuration profiles, and policy enforcement at scale
• Demonstrated experience administering an enterprise IDP/IAM platform (Microsoft Entra, Okta, or Google Workspace) including full user lifecycle management, SSO configuration, MFA enforcement, and access reviews
• Experience implementing and enforcing security policies across endpoints and SaaS applications, with working knowledge of HIPAA requirements, PII handling, and the ability to conduct regular audits and remediations

Preferred Skills & Qualifications: 

• Working knowledge of identity and access management protocols including SAML, SCIM, OAuth, and 802.1x.
• Familiarity with endpoint security tools, zero-trust architectures, and certificate-based authentication (TLS, X.509, U2F, WebAuthn).
• Understanding of networking fundamentals: TCP/IP, DNS, DHCP, ARP, VLANs, and basic wireless troubleshooting.
• Experience with IaC and automation tools such as Terraform, Ansible, or Cloud-Init.
• Experience maintaining and troubleshooting legacy AV equipment such as conference room displays, projectors, video conferencing systems, and audio hardware.
• Comfort supporting a diverse user base including non-technical colleagues; strong empathy and communication skills.
• Experience in regulated environments (HIPAA, SOC 2, or similar).

COMPLIANCE & DATA PRIVACY

Neuralink handles sensitive patient health information and personally identifiable information (PII). All employees are expected to understand and comply with HIPAA regulations and Neuralink’s data privacy policies. This role may involve access to protected health information (PHI) and requires a demonstrated commitment to confidentiality, data security, and responsible handling of sensitive information.

Location Details: 

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

Join Our Team

GoDaddy is seeking a highly skilled and motivated Site Reliability Engineer (SRE)  to join our dynamic team. This role will focus on automating and maintaining our storage infrastructure with a focus on Ceph, ensuring the reliability, scalability, and performance of our systems.

What you'll get to do...

• Automate and maintain day-to-day operations of storage systems to support application demands
• Develop and maintain tools and automation scripts to streamline storage operations and improve efficiency
• Monitor system performance, identify issues, and implement solutions to ensure high availability and reliability
• Participate in agile concepts such as daily stand-up meetings, task tracking boards, design and code reviews, automated testing, continuous integration, and deployment
• Continuously improve system reliability, performance, and capacity through proactive monitoring, automation, and optimization

Your experience should include...

• 2+ years of professional experience with Ceph, working in a production environment
• 2+ years of experience in site reliability engineering or a similar role
• 2+ years of professional experience with Ceph, including deployment, configuration, and management of Ceph clusters and systems
• Experience working on Linux/Unix systems, with a focus on automation and operating at scale
• Proficiency in Python or Bash
• Experience with Ansible, Terraform, or SaltStack
• Experience with Nagios-based monitoring tools, such as Icinga2
• Experience with observability tooling, such as Prometheus, Grafana, Mimir, and Loki
• Solid understanding of core networking concepts and protocols, particularly in relation to Linux/Unix systems

You might also have...

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Exposure to and experience working with compute platforms (e.g., OpenStack, AWS)
• Familiarity with ability to contribute to CI/CD pipelines and automation workflows

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.  

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.   

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. 

RESPONSIBILITIES

• Responsible for the maintaining all the network fabrics and network topologies operating at peak performance on Graphcore Data centers housing AI server platforms.
• Collaborate closely with our Network architecture team through all phases of the design and development lifecycle — from concept to deployment — ensuring timely, high-quality, and stable high-speed network fabrics.
• Primary support of deployed internal fabrics in our AI Datacenters.
• Direct escalation for Hardware, Link and, Performance issues on network fabrics.
• Escalation support for customer network fabrics (aligned to reference arch.)
• Triage day-to-day network topologies (scale-up, scale-out, and front-end networks) issues of Fabrics deployed in Graphcore Datacenters.

REQUIREMENTS

• Bachelor’s, master’s degree or equivalent experience in Network Engineering/Security, Information Technology, Computer Science, Computer engineering, or a related field.
• 9+ years of hands-on experience in network engineering and 3+ years supporting networking on AI or Hyperscale Datacenters.
• Knowledge of Remote Direct Memory Access (RDMA) and its implementations, specifically ROCEv2 or InfiniBand
• Knowledge of Lossless network – Experience with congestion control and lossless Ethernet technologies including PDF, ECN and DCQCN.
• Versed in High-Bandwidth network infrastructure including experience with operating 400G and 800G network fabrics and tackling challenges at the physical layer for networks operating at these speeds. This includes familiarity with specific optical transceivers.
• Experience sustaining non-blocking, multi-tier CLOS networks (i.e., Spine / Leaf / Super-Spine) that are optimized for high-density GPU clusters.
• Extensive troubleshooting experience for data center routing protocols such as BGP and OSPF as well as troubleshooting of VXLAN implementations.
• Cross-Functional collaboration- The candidate must excel at working closely with network architects, systems hardware engineers, AI software engineers, and Datacenter infrastructure teams to optimize the full stack from the application layer down to the Network infrastructure that includes controllers (NICs, SmartNICs, DPUs), network switches, and cabling and optical transceiver operation in our Datacenter.

DIFFERENTIATORS

• Deep hands-on experience with NetDevOps to automate tasks using tools such as Terraform or Ansible to manage network configurations and state.
• Possess strong scripting skills such as Python, Go, or JSON to build custom automation, interact with APIs, and develop internal network tools.
• Deep hands-on experience with modern, high-performance hardware from network switch and NIC providers such as Broadcom, Arista, Cisco, or Pensando.
• Knowledgeable in Advanced Network Telemetry, beyond traditional SNMP. Knowledgeable in telemetry protocols such as gNMI, Sflow, Netflow, Redfish, and Prometheus to characterize and detect transient congestion events, micro-bursts in the network fabric or defective network hardware.

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.

pproach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year.

WHAT YOU'LL WORK ON

We're hiring a Senior Application Security Engineer to join a small, high-leverage AppSec team. This is a deep-technical IC role with a staff-leaning scope: you'll set the technical direction and own delivery on how we find, fix, and prevent vulnerabilities across Qualia's products and cloud infrastructure, and you'll be the person other engineers want in the room when an architecture decision has a security dimension.

You'll partner daily with product engineering, infrastructure, and platform teams, and you'll work closely alongside our existing AppSec engineers - raising the technical bar of the team while staying deeply hands-on with code, tooling, and adversarial testing. This is the right role for someone who is as comfortable writing a Burp extension or a Semgrep rule as they are pairing with a product engineer to land a fix.

RESPONSIBILITIES

• Run offensive assessments against Qualia's applications and infrastructure: manual penetration testing, exploit development, authenticated web/API testing, and adversarial review of new designs before they ship
• Lead threat modeling and secure design review for the highest-risk initiatives across the company, and mentor engineers to do the same for their own work
• Own and evolve our AppSec tooling stack end-to-end - SAST, DAST, SCA, secret scanning, IaC scanning, and the CI/CD gates that tie them together. Build the custom rules, detections, and automation that generic tooling doesn't give us
• Harden our cloud posture: review AWS configurations, IAM policies, Kubernetes/EKS workloads, and networking boundaries; build automation and guardrails that prevent the same class of issue from recurring
• Reduce toil for the team - write the tools, scripts, and integrations that turn a day of triage into a few minutes
• Partner with Infrastructure and Platform on detection engineering, incident response support, and cross-cutting programs (secrets management, supply chain, runtime security)
• Set the technical bar for the AppSec team: raise the quality of reviews, establish patterns others can reuse, and mentor peers across seniority levels
• Represent AppSec in architectural reviews, vendor evaluations, and compliance efforts

YOUR BACKGROUND THAT LIKELY MAKES YOU A MATCH

• 8+ years of hands-on experience in application security, offensive security, or security engineering, with demonstrable depth in at least two of: offensive testing, security tooling/automation, and cloud/infra security
• Strong offensive skills - you can manually exploit real web and API vulnerabilities beyond what a scanner will find, and you can teach others to do the same
• Deep familiarity with building and operating security tooling in a modern engineering org: SAST/DAST/SCA pipelines, custom detection rules, secrets scanning, and CI/CD security gates. You've written tooling, not just configured it
• Production experience with AWS (IAM, VPC, networking, data services), containerized workloads (Docker, Kubernetes/EKS), and infrastructure-as-code (Terraform or similar)
• Comfort reading, reviewing, and contributing code in at least one language common to modern web stacks (Python, Go, Ruby, TypeScript, or similar)
• Clear, direct communication style. You can make a sharp technical argument to senior engineers, translate risk into business terms for leadership, and write a bug report an engineer actually wants to fix
• Strong partnership instincts - you get leverage by making other teams faster, not by blocking them

NICE TO HAVE

• Experience in fintech, proptech, healthcare, or another regulated industry where data sensitivity is high
• Background meaningfully contributing to a bug bounty program
• Experience with identity and access systems (OIDC, SAML, federation, fine-grained authorization)
• Detection engineering, DFIR, or red-team experience
• Open source contributions to security tooling, published research, or CVE credits
• Relevant certifications (OSCP, OSWE, GWAPT, GPEN, etc.) - valued but not required

While this role is remote work eligible, we have three office locations: San Francisco, California; Concord, New Hampshire; and Austin, Texas.

This role has a base annual salary of $180,000-$210,000  plus a competitive equity and benefits package. (Salary to be determined by relevant experience, location, knowledge, and skills of the applicant, internal equity, and alignment with market data.)

WHY QUALIA

Qualia is made up of incredibly bright, mission-driven coworkers who are passionate about using technology to solve real-world problems---and we're growing quickly. In order to continue building an engaging and dynamic organization, we're committed to giving everyone the support they need to do great work.

Our benefits package is designed to allow our team members to be their best selves, both in and out of the workplace. In addition to comprehensive health plans, a 401k program, and commuter benefits, we prioritize family and personal well-being through professional development, parental leave, and a flexible time off policy. Qualia offers a robust online onboarding program to train new hires, biweekly all hands meetings, and a variety of internal virtual events to keep employees connected.

We believe diverse perspectives and backgrounds are critical to building great technology, and our goal is to cultivate an environment where people feel equally valued and respected. Qualia is proud to be an equal-opportunity workplace, and we welcome applicants from all backgrounds regardless of race, color, ancestry, religion, gender identity or expression, sexual orientation, marital status, age, citizenship, socioeconomic status, disability, or veteran status.

By submitting your application, you acknowledge and agree to the collection, processing, and use of your personal information as described in our Employee Data Privacy Notice.

#LI-Remote

We are seeking a Senior Software Engineer - Cloud Platform to join our growing infrastructure organization. This is a high-impact, greenfield opportunity to help build and shape our Cloud Platform team from the ground up. You will be a founding technical contributor responsible for defining standards, scaling platform capabilities, and improving the developer experience for every engineer across the company.

You will take ownership of critical cloud initiatives—including governance, automated remediation, and internal developer tooling—with a direct mandate to influence how we manage our AWS footprint at scale. This role requires a RealOwnership mindset as you define standards and stabilize platform capabilities to support every engineer across the company. You will play a pivotal role in scaling our infrastructure to be secure and cost-effective, assuming full technical ownership of the platform from outgoing contractors by the end of Q2.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. This role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy, allowing you to focus on high-impact architectural challenges.

What you’ll do:

Cloud Governance & RealOwnership

• Implement and maintain robust cloud governance using IaC (Terraform, CloudFormation, or CDK) to create reusable modules and templates.
• Take ownership of Cloud Custodian policies and AWS SCPs to enforce security, tagging, resource lifecycles, and compliance.
• Ensure infrastructure provisioning and operational activities align with established governance guidelines and internal controls.
• Build automated remediation and reporting for governance and cost issues to ensure a secure, compliant environment.

Platform Innovation & "Paved Paths"

• Run and extend Backstage (Internal Developer Portal) by adding/maintaining plugins and service catalogs to improve developer self-service.
• Integrate IaC and policy checks into deployment pipelines to create "paved paths" that allow engineers to move faster without sacrificing security.
• Collaborate across Engineering, Security, and Finance to influence cloud standards and operational efficiency at scale.

FinOps & Cost Optimization

• Drive cost optimization initiatives (rightsizing, reserved instances, spot instances) and automate cost controls and alerts.
• Support cost-conscious architecture decisions with measurable ROI on cloud spend.

What you’ll bring: 

Experience & Expertise

• 5+ years in DevOps, Platform, or Infrastructure Engineering with a track record of building scalable cloud governance systems.
• 3+ years of hands-on experience with AWS (EKS, EC2, RDS, IAM) and production-grade Kubernetes cluster management.
• Proficient programming skills in Python, Go, or Java for building platform automation and internal tooling.
• Deep expertise in Infrastructure as Code (Terraform preferred) and modern CI/CD/GitOps workflows (Argo CD, CircleCI, or Jenkins).
• Preferred: Direct experience with Cloud Custodian, Backstage, and FinOps principles.

Technical Skills

• Cloud & Infrastructure: AWS (EKS, Fargate, Lambda, VPC, IAM), Kubernetes, Docker, Istio Service Mesh.
• Governance & Tooling: Cloud Custodian, AWS SCPs, Backstage, AWS Secrets Manager.
• IaC & Automation: Terraform, CDK, CloudFormation, Helm, Python/Go.
• Observability: NewRelic, Datadog, or Prometheus/Grafana.
• Incident Management: OpsGenie or PagerDuty.

Professional Qualities

• Strong communication skills with ability to explain technical concepts to diverse audiences
• Collaborative approach working across engineering, product, and business teams
• Self-motivated with ability to solve complex problems within established practices and policies
• Data-driven decision making with customer-centric approach and empathy for developer experience

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

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

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity 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.

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

We are looking for a Strategic Technical Account Manager who is passionate about making an impact, builds genuine relationships with senior stakeholders, and understands how to integrate infrastructure choices into business strategy.

As a Strategic Technical Account Manager (TAM) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. 

What You’ll Do:

Strategic Relationship Management

• Own the technical relationship with DigitalOcean’s highest-value customers, including Fortune 500 companies and global technology leaders.
• Serve as the trusted technical advisor and executive-facing point of contact, building deep, lasting relationships with VP- and SVP-level stakeholders.
• Drive regular technical and strategic alignment sessions (QBRs, EBRs), proactively shaping the customer’s roadmap to maximize the value of DigitalOcean infrastructure.
• Operate as a thought partner, challenging customers to modernize, optimize, and scale AI/ML and GPU workloads using cutting-edge cloud architecture patterns.

Executive Presence & Influence

• Engage with C-level and VP-level contacts with confidence, clarity, and authority.
• Deliver high-impact, boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities.
• Navigate complex org structures, ensuring DigitalOcean maintains executive alignment and account control at every level.

Technical Consultation & Innovation Support

• Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean.
• Assist customers with architectural planning, workload migration, performance tuning, and incident response.
• Collaborate directly with engineering and product teams to address customer roadblocks and influence the product roadmap based on enterprise needs.

Growth, Retention & Advocacy

• Own technical success across a portfolio of DigitalOcean’s largest and most strategic accounts.
• Identify opportunities for workload expansion, cost optimization, and operational efficiency.
• Act as the voice of the customer, providing structured feedback to influence DigitalOcean's offerings and go-to-market strategies.
  Lead cross-functional account planning with Account Management, Product, and Engineering.

What You’ll Add to DigitalOcean:

Enterprise Customer Experience

• 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent).
• Experience working with large-scale organizations like AMD, Intel, or similar, including managing executive-level relationships and navigating matrixed stakeholders.
• Deep understanding of cloud architecture for AI/ML, including GPU orchestration, inference/training pipelines, and model deployment.

Technical Depth

• Proficient in at least one major cloud platform (AWS, GCP, Azure) and familiar with DigitalOcean or other developer-focused platforms.
• Strong hands-on skills with Linux systems, networking, containers (Docker/Kubernetes), and automation (Terraform, Ansible).
  Programming/scripting in Python, Go, or similar—especially relevant to AI/ML and MLOps use cases.
• Understanding of AI/ML infrastructure stacks: PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton, etc.
• Understanding of AI/ML infrastructure, including frameworks like PyTorch, TensorFlow, and ONNX, with hands-on experience optimizing GPU workloads on both NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms.
• Comfort with modern DevOps and data stack tools (CI/CD, GitOps, observability, pipelines).

Executive Presence & Communication

• Proven ability to engage with and influence executive decision-makers.
• Exceptional communication skills, including the ability to translate complex technical topics into strategic business impact.
• Comfortable presenting to large audiences, running technical workshops, and defending architectural decisions.

Bonus Points

• Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
• Experience with high-performance computing, edge AI, or hybrid/multicloud strategies.
• Background in startup or high-growth environments where agility and influence matter.
• Familiarity with DigitalOcean’s developer ecosystem, API, and service portfolio.

Compensation Range: 

•  $174,240 - $217,800

*This is a remote role

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 4pm - 12am EST

*This is a remote role

JR: 2026-7646

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 2pm - 10pm MST

*This is a remote role

JR: 2026-7646

#LI-Remote

We are seeking a Senior Software Engineer (IC3) to join our Customer Trust & Engineering team working on Identity and Access Management. IAM is the bedrock of trust at DigitalOcean; our services sit in the critical path of every request, authorizing billions of transactions per second with single-digit millisecond latency.

In this role, you won't just maintain existing systems—you will architect the next generation of our Identity platform. You will be instrumental in supporting our AI initiatives, building seamless SSO integrations for global partners, and evolving our policy engine to support complex, agentic workflows. If you are passionate about distributed systems, security-first engineering, and building at hyperscale, this is the team for you.

What You’ll Do

• Architect for Scale: Design and develop high-availability, low-latency authentication and authorization services in Go that scale to handle massive load spikes across global regions.
• Drive Next-Gen Innovation: Build the IAM foundations for emerging cloud-native AI/ML platforms, designing secure token exchange patterns and identity context injection for agentic AI workflows.
• Modernize Identity: Lead the implementation of OIDC and SAML integrations, enabling seamless federated Single Sign-On (SSO) for enterprise customers and strategic global partners.
• Solve Complex AuthZ: Evolve our Policy Engine (using industry standards like Rego/OPA) to support advanced resource-level permissions, dynamic scoping, and network-aware access conditions.
• Evolve Identity Models: Design and scale robust, multi-tenant data models to manage complex hierarchical structures (users, teams, organizations, and resource boundaries) that map to enterprise customer needs.
• Operational Excellence: Take ownership of service reliability, from fine-tuning Kubernetes deployments to migrating legacy data pipelines to modern eventing architectures.
• Security First: Proactively identify and remediate complex security vulnerabilities, ensuring our auth flows are resilient against credential stuffing, session hijacking, and configuration theft.
• Mentor & Lead: Act as a technical lead for major workstreams, conducting deep code reviews and mentoring junior engineers in distributed systems best practices.

What You’ll Add to DigitalOcean

• Experience: 5+ years of software engineering experience, with at least 2+ years focused on Identity (AuthN/AuthZ), Security Products, or high-scale Distributed Systems.
• Language Expert: Expert-level proficiency in Go and a strong understanding of gRPC microservices architecture.
• Identity Specialist: Deep knowledge of identity protocols (OIDC, OAuth2, SAML) and access control models (RBAC, ABAC, PBAC).
• Distributed Systems Guru: Proven ability to build systems that handle consensus, replication, and partitioning at cloud scale.
• Cloud Native: Working experience with container orchestration (Kubernetes), SQL (MySQL), and Infrastructure as Code (Terraform).
• Problem Solver: A track record of "unwinding" complex legacy logic into clean, maintainable abstractions.
• Communication: Ability to communicate technical strategy to senior leadership and collaborate across teams (Inference, Billing, DOKS).

Nice to Have

• Experience with Open Policy Agent (OPA) and Rego.
• Familiarity with Cloud-native deployment strategies (Canary/Blue-Green) via kubernetes.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role

JR: 2026-7665

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 1pm - 9pm PST

*This is a remote role

JR: 2026-7646

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are seeking a Solutions Architect II with deep expertise in Kubernetes migrations and cloud infrastructure to drive the success and retention of DigitalOcean’s high-value customers while also acquiring and onboarding net new customers. Reporting to the Manager of Solutions Architecture, you will play a critical role in leading customers through Kubernetes migrations and cloud-native transformations, helping them achieve their business objectives while expanding their use of DigitalOcean’s platform.

In this role, you will partner with Customer Success, Support, and Sales teams to deliver technical excellence that supports the retention and expansion of our largest and fastest-growing customers, as well as onboarding new businesses seeking modern, scalable solutions. As the technical subject matter expert, you will design, implement, and optimize cloud architectures, guide customers on best practices, and deliver solutions tailored to their needs.

Additionally, you will collaborate across functions—Product, Engineering, and Operations—to ensure customer feedback informs the continuous improvement of DigitalOcean’s products and services. Your insights and leadership will be instrumental in building trust with both existing customers and new prospects, showcasing DigitalOcean as their go-to partner for Kubernetes and cloud infrastructure needs.

This role offers an exciting opportunity to combine your technical depth, communication skills, and entrepreneurial mindset to make a significant impact on DigitalOcean’s growth and success.

What You Will Be Doing: 

As a Staff Solutions Architect specializing in Kubernetes, you will be a hands-on technical leader responsible for guiding customers through complex Kubernetes migration projects. Leveraging deep expertise in migrations and the Kubernetes ecosystem, you will play a pivotal role in designing, implementing, and optimizing cloud-native solutions for customers. Collaborating closely with customer success teams, engineering, and other stakeholders, your efforts will directly contribute to workload expansion, customer retention, and the adoption of modern cloud practices.

• Lead hands-on Kubernetes migration projects, ensuring seamless transitions of workloads to Kubernetes environments.
• Analyze customers’ existing infrastructure and applications to design robust migration strategies.
• Implement Kubernetes architectures, taking ownership of the technical execution throughout the migration lifecycle.
• Troubleshoot and resolve complex migration challenges, ensuring minimal downtime and optimal performance.
• Deep expertise in Kubernetes, container orchestration, and the cloud-native ecosystem.
• Software engineering experience 7 years+
• Design, plan, and review Kubernetes migration and modernization strategies tailored to specific use cases.
• Build detailed infrastructure diagrams and explain architectural decisions clearly to technical and non-technical audiences.
• Partner with Technical Customer Success Managers and Account Managers to identify customer needs, define success plans, and ensure smooth migrations.
• Conduct hands-on technical workshops, proof of concepts, and demonstrations showcasing Kubernetes migration processes and cloud-native solutions.
• Offer tailored onboarding and migration assistance to guide customers through technical blockers and adoption challenges.
• Act as a trusted advisor, helping customers navigate technical complexities and adopt Kubernetes best practices.
• Collaborate with engineering and support teams to resolve technical escalations during migrations.
• Advocate for customer feedback to inform the development of new Kubernetes-related features and platform enhancements.

What We'll Expect From You:

• Extensive professional experience in cloud infrastructure, Kubernetes, and migration projects, or equivalent education.
• Deep understanding of Kubernetes architecture, container orchestration, and related cloud-native technologies.
• Strong foundational knowledge of Linux, distributed systems, and their application in cloud environments.
• Proven programming and scripting experience to support automation and migration processes.
• Prior experience in a pre-sales, technical consulting, or customer-facing role, with a focus on solving complex technical challenges.
• Passionate about delivering exceptional customer experiences and fostering customer success.
• Demonstrated track record of developing effective technical solutions to address customer business challenges.
• Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to diverse audiences.
• Highly motivated, with a proactive mindset and the ability to work independently and collaboratively.
• Relevant certifications such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).
• Proficiency in IaC tools like Terraform, Helm, or Ansible, and experience automating complex deployments.

Extra Credit: 

• Demonstrated experience contributing to open-source projects, particularly within the Kubernetes ecosystem or related cloud-native technologies.
• Advanced knowledge of cloud providers and tools (e.g., AWS, Azure, Google Cloud Platform) and experience with multi-cloud or hybrid cloud environments.
• Active participation in Kubernetes or cloud-native communities, including meetups, conferences, or forums.
• Experience creating tools, plugins, or frameworks that enhance Kubernetes migrations or operational efficiency.
• Published articles, blogs, or documentation on Kubernetes best practices, migration strategies, or cloud-native solutions.

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7693

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 3pm - 11pm CST

*This is a remote role

JR: 2026-7646

#LI-Remote

We are looking for a Customer Success Engineer, Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
•  on complex escalations, contributing to root cause analysis and resolution
• Analyze customer architectures to identify improvement opportunities and recommend best practices
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

Required Experience & skills

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

Compensation Range: 

• $75,200 - $94,000 / Shift hours - 1pm - 9pm PST

*This is a remote role

JR: 2026-7646

#LI-Remote

We’re looking for a security manager passionate about defending the enterprise to lead a team of Security Engineers and Analysts.

You will manage a team dedicated to defending DigitalOcean’s corporate and production environments, reporting to the Director of Security. At the heart of this team's mission lies a commitment to building and maintaining robust systems that keep DigitalOcean's production and corporate infrastructure safe, secure, and defensible. We protect DigitalOcean from internal and external threats by implementing security tools and processes. We collaborate with teams to provide secure-by-design solutions that remove obstacles to productivity, embodying a "yes, and" philosophy rather than "no."

What You’ll Do:

Lead and grow the team

• You will manage, mentor, and hire for a team of 6 infrastructure security engineers and security analysts ranging from junior to staff levels.
• You will support team members’ career growth, manage performance, and ensure the team maintains a high bar for technical execution.

Scale security infrastructure

• You will lead Infrastructure Security engineers in building and maintenance of critical systems including Vault, VPNs, LDAP, and Network IDS sensors.
• You will oversee the maintenance of mission-critical Infrastructure as Code automation, leveraging tools like Ansible, Chef, and Terraform while leading the strategic evolution of IAM and endpoint security for both production and corporate infrastructure.
• Maintain the operational health of the team’s platforms and services by overseeing a sustainable on-call rotation, serving as a secondary escalation point to support your engineers during major infrastructure disruptions or outages.

Mature detection engineering

• You will lead Security Analysts in building a first line of defense, triaging corporate alerts, and building robust detections.
• You will ensure the team effectively monitors for suspicious activity and executes the crucial initial steps of alert triage to activate Incident Response.
• Collaborate closely with ICs and leaders in Digital Forensics and Incident Response (DFIR) to ensure the detection pipeline is grounded in reality, building high-fidelity alerts that map directly to potential security incidents and threat actor behaviors.

Build bridges, not walls 

• You will foster strong cross-functional relationships by working closely with ICs and leaders across both corporate and technical teams, including IT, Finance, Internal Audit, and Product Engineering.
• You will lead your team to be proactive "yes, and" partners who help stakeholders navigate security challenges with clarity and confidence.

What You’ll Add to DigitalOcean:

Experienced management

• You have 2+ years of experience leading a team of security engineers or analysts.
• You are comfortable stepping into a role with 6 direct reports and have a track record of elevating talent across all levels (junior to staff) and keeping them engaged and unblocked.

Technical context

• You possess a deep background in Infrastructure Security, Security Operations, or Security Engineering.
• You lead with technical credibility, providing meaningful feedback on complex systems across Identity (IAM, ZTNA), Infrastructure (VPNs, Endpoint, IDS, Vault), and Security Observability platforms.
• You have direct experience with security monitoring programs and a passion for maturing enterprise defense.

Servant leadership

• You measure your own success by the success of your team.
• You have a track record of defining clear priorities to reduce context switching, clearing operational paths so your engineers and analysts can focus on technical execution, and ensuring they receive visibility and credit for their work.

Empathy & communication

• You translate complex security risks into business context for leadership and teach your team to communicate with empathy and clarity.
• You effectively communicate roadmaps, milestones, target dates, and project status to both your direct leadership and the extended security leadership team.

Compensation Range: 

• $180,000 - $210,000

*This is a remote role.

JR: 2026-7588

#LI-Remote

We are looking for a Senior Software Engineer who is passionate about startups fueling the next wave of AI innovation. 

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role.

JR: 2026-7538

#LI-Remote

We want people who care about empowering their peers to understand their services.

Observability Platforms is focused on creating visibility into DigitalOcean’s services and infrastructure. We design, build, and operate the internal logging, metrics, distributed tracing, error reporting, monitoring, and alerting platforms that are depended on to ensure good, reliable experiences for DigitalOcean’s customers. Through a mix of open source services and in-house developed software we seek to continuously improve the ability of DigitalOcean engineers and product managers to understand the behavior of their products and services in order to improve the experiences of our customers. 

What You'll Be Doing:

• Integrating and operating open source distributed data systems such as OpenSearch, VictoriaMetrics, Kafka, and Clickhouse
• Implementing features to both improve the operability of our services and help design and implement the next generations of metrics and logging at DigitalOcean.
• Guiding other engineers on how they can best utilize our systems to gain confidence that their services are performing as expected.

What We'll Expect From You:

• Experience running and using distributed databases such as Opensearch, VictoriaMetrics, Clickhouse
• Experience with Kubernetes not just as an end user, but also an operator
• Experience writing software in Golang. Experience with the challenges of concurrency and distributed systems is a plus.
• Experience with DevOps tooling such as Terraform, Ansible, and Github Actions (or other relevant CI/CD experience).
• An ability to work well as part of a geographically distributed team.
• Participation in a 24/7 on call rotation
• Someone who is motivated to learn, teach, grow, explore, and seek out areas we can improve
• Strong communication and customer service skills - we provide support to the internal users of the systems we design, build, and operate. 

Compensation Range: 

• $139,000 - $174,000

*This is a remote role

JR: 2026-7494

#LI-Remote

We are seeking a highly experienced and motivated Senior Software Engineer to join our Security Products team. In this pivotal role, you will be instrumental in designing, building, and maintaining robust security products and infrastructure that protect Digital Ocean's platform and our customers' data. This is an exciting opportunity for an individual who thrives in a fast-paced environment and is passionate about solving complex security challenges at scale.

What you’ll do

• Design and develop real-time security detection engines using Apache Flink and Kafka for threat detection at cloud scale
• Build high-performance security APIs and microservices using Go and JavaScript/Node.js
• Implement streaming analytics for security event correlation, anomaly detection, and threat intelligence
• Architect and implement security solutions running on Kubernetes at hyperscale
• Develop security data pipelines processing petabytes of logs, network traffic, and telemetry data
• Lead technical design for complex security platform features from conception to production
• Collaborate with security researchers, threat analysts, and cloud platform teams
• Mentor junior engineers on security engineering best practices and cloud-native development

What we’ll expect from you

• 5+ years of experience in software engineering, with significant exposure to building products at security companies or within security functions.
• Expert-level Go and strong JavaScript/Node.js skills
• Proven track record of designing and implementing high-throughput, scalable systems with large data requirements
• Deep understanding of distributed systems: consensus, replication, partitioning, and consistency - Production Apache Flink and advanced Kafka experience processing high-volume event streams.
• Deep Kubernetes expertise running security-critical workloads at scale
• Cloud platform experience (AWS, GCP, Azure) with understanding of cloud security models, infrastructure as Code expertise (Terraform, Helm, Chef)
• Experience building systems handling millions of events per second
• Familiarity with various security tools and technologies (e.g., SIEM, WAF, IDS/IPS, vulnerability scanners).
• Excellent problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, dynamic, and rapidly evolving environment.

Nice to Have

• Experience with distributed systems and microservices architectures.
• Knowledge of cryptography and secure communication protocols.
• Contributions to open-source security projects.

Compensation Range: 

• $133,680.00 - $167,100.00

*This is a remote role

#LI-Remote

We are looking for a Senior Forward Deployed Engineer (FDE) who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, GPU optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) to reduce friction for the broader field organization.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range:

• $140,000 - $174,000 

*This is a hybrid role

JR: 2025-7267

#LI-Hybrid

We are looking for a Senior Forward Deployed Engineer (FDE) who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, GPU optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) to reduce friction for the broader field organization.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range:

• $140,000 - $174,000 

*This is a remote role

#LI-Remote

We want people who are passionate about building meaningful, long-term relationships with our customers that help grow and scale business in the cloud.

Our Technical Account Manager team’s mission is to partner with our most critical business customers, helping them achieve desired outcomes through optimal use of the cloud platform aligned to their business strategy. Technical Account Management is an integral part of our company. They are passionate about building meaningful, long-term relationships with our customers and are experts in cloud technology and the digital economy. As the voice of the customer, you have the opportunity to influence decisions that will greatly improve user experience and contribute to DigitalOcean’s long-term success.

This is a unique and exciting opportunity for someone who is passionate about advising companies as they scale. This multifaceted role combines the responsibilities of a Technical Account Manager with leadership, technical, and strategic elements, making it a crucial position within our organization.

As a Senior Technical Account Manager at DigitalOcean, you are a strategic partner for our key business customers, ensuring they receive the guidance, support, and resources needed to succeed. You will leverage your technical knowledge and customer advocacy skills to retain and grow our customers' deployments on DigitalOcean, helping them solve complex challenges and maximize the value of their cloud infrastructure.

What You Will Be Doing:

• Technical Consultation & Architecture Design:
• Develop and maintain deep expertise in the DigitalOcean product portfolio and the evolving cloud ecosystem.
• Help design, diagram, and plan infrastructure architectures tailored to customer use cases, explaining solutions clearly to both technical and non-technical stakeholders.
• Conduct regular technical consultation sessions and workshops, enabling customers to be self-sufficient in managing their cloud environments.
• Maintain knowledge of cloud infrastructure best practices and recent technologies through the regular attainment and maintenance of important cloud technology certifications and coursework.
• Proactive Customer Engagement & Growth:
• Manage and maintain DigitalOcean’s key accounts 
• Partner closely with customers to drive engagement, retention, and expansion of their DigitalOcean workloads.
• Conduct QBRs with key accounts, assessing their progress, understanding their evolving needs, and aligning on strategies for future growth.
• Identify opportunities for cost reduction and performance optimization, guiding customers to make data-driven decisions that maximize their cloud investments.
• Collaborate with internal teams, such as Engineering, Marketing, and Account Managers, to align customer needs with DigitalOcean’s strategic goals.
• Proactively monitor customer usage trends, identify potential risks, and uncover new opportunities for growth and adoption.
• Advocacy & Cross-Functional Collaboration:
• Act as the voice of the customer within DigitalOcean, ensuring their needs are represented in product development and support processes.
• Liaise with Engineering and Support teams to resolve escalations and technical challenges quickly, ensuring smooth customer experiences.
• Deliver compelling presentations to articulate the benefits and functionality of DigitalOcean’s offerings to customers.
• Contribute to internal and external technical documentation, and provide training for DigitalOcean’s teams and partners to ensure knowledge transfer.
• Tooling & Efficiency:
• Develop tools and scripts to streamline DigitalOcean’s technical engagements, improving the efficiency of the Technical Account Management functions.
• Stay current with industry trends and best practices to continuously enhance DigitalOcean's customer engagement strategies.

What We’ll Expect From You:

• Technical Expertise:
• Proven experience in cloud infrastructure and deep knowledge of Linux, distributed systems, and automation.
• Programming or development experience, with basic skills in at least one mainstream language (e.g., Python, Go).
• Understanding of provisioning and deployment strategies, with knowledge of tools like Terraform, Ansible, and Docker.
• Proficiency with at least one major cloud platform (AWS, Google Cloud Platform, or Azure).
• Proven track record of successfully troubleshooting technical problems. 
• Familiarity with version control (e.g., Git), SQL and basic database administration, CI/CD tools, and AI/ML infrastructure principles.
• Customer-Centric Approach:
• Passionate about delivering exceptional customer experiences, with a history of building successful technical solutions that align with business goals.
• Ability to manage multiple stakeholders, prioritize effectively, and set clear expectations.
• Strong analytical skills to monitor customer trends and identify opportunities for improvement and growth.
• Experience advocating for customer needs and translating feedback into actionable insights.
• Communication Skills:
• Strong verbal and written communication skills, capable of translating complex technical concepts for varied audiences.
• Ability to create and deliver technical presentations and training sessions that resonate with customer needs.
• Adaptability & Initiative:
• Self-starter with a passion for technology and open-source projects, eager to learn new tools and systems.
• Quick to adapt to changes in the cloud ecosystem, always looking for ways to improve customer engagement and technical solutions.
• Extra credit for experience in (Technical) Customer Success, Solutions Engineering, or Technical Account Management roles, particularly within fast-paced startup environments.

Extra Credit:

• Cloud certifications (AWS/GCP/Oracle/Azure) and NVIDIA certifications for GPU and AI/ML.
• Experience with networking (Cisco/Juniper), automation tools (Terraform, Ansible), virtualization (KVM, Xen), and databases (e.g., MongoDB, MySQL).
• Familiarity with open-source technologies, such as Docker, Kubernetes (CKA/CKE), and DigitalOcean’s API.
• Linux certifications (e.g., RHCSA/RHCE) 
• Experience working with large CRMs like Gainsight and Salesforce

Compensation Range: 

• $142,000 - 176,000

*This is a remote role

JR: 4290

#LI-Remote

ABOUT PLACER.AI: 

One of the fastest growing tech companies in North America, Placer.ai (“Placer”) reached $100 million ARR “Centaur” status in 2024, within 6 years of launching the Placer platform. We previously crossed the $1B valuation “Unicorn” threshold in 2022.

Our A.I.-based SaaS platform transforms how leaders make critical decisions by unlocking unparalleled visibility into markets and locations, creating a blue ocean market of more than $100B. And the best part is, we accomplished this by leading a privacy-first business in which data has been stripped of user identifiers and only aggregated information is provided within the platform.

Our platform provides instant visibility into almost any location in the U.S. We have grown exponentially over the past 6 years, counting more than 4,000+ paying customers including many Fortune 500 companies, such as, JP Morgan Chase, Wayfair, Google and many more.

Named one of Forbes America’s Best Startup Employers and a Deloitte Technology Fast company, we are proud of our collaborative, innovative and inclusive culture.

Summary

We are looking for a Production Engineer to help us build and scale Placer’s Infrastructure. This person will take an active role in shaping and implementing Placer’s architecture, as well as introduce new technologies, standards and help increase our release pipeline by building the right tools and frameworks for our developers.

This person will take the existing architecture and pave the way in pursuing and materializing our vision. Passion is a MUST and passion for data even more so!

If you are someone who thrives outside their comfort zone, your place is at Placer.ai.

Responsibilities 

• Plan and implement tools to help our company succeed
• Taking care of our CI/CD tools
• Manage our production and multiple development environments
• Collaborate with development teams to improve our system infrastructure and stability
• Develop effective tooling, dashboards, alerts, and response to identify and address reliability risks
• Measure, analyze and improve efficiency, scalability, and stability of various system resources
• Carry tasks end-to-end, from design to deployment, and take full ownership

Requirements 

• 5+ years of experience in a similar position
• Experience working with public cloud
• 3+ years of production experience with Kubernetes including using open source solutions from the eco-system
• 2+ years of experience with "Infrastructure as a code" tools such as Terraform, Pulumi or similar
• 2+ years of experience managing Databases and Queues such as PostgreSQL, MySQL, ElasticSearch, Redis, MongoDB, Kafka, RabbitMQ or similar
• Strong skills with a variety of monitoring and alerting tools
• Sense of humor, all around team player, fast self-learning individual, problem solver

Nice to have:

• CKA certification or similar
• Strong Kubernetes skills, experience with modern CNIs, volume plugins, security, operators, service meshes, ingresses and K8s ecosystem
• Extensive knowledge of RabbitMQ
• Experience working with GCP

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits
• Fully remote

The U.S. annualized pay range for this position is $190,000 - $210,000 USD. In addition, certain roles have the opportunity to earn sales-based commissions. Base pay offered within the stated range may vary depending on multiple individualized factors, including job-related skills, professional experience, education and licenses (if applicable), work location and compensation market data.

Base pay is just a part of our total rewards program. Placer provides medical, dental and vision coverage as well as flexible time off, 401K and equity awards for certain roles.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER

• Placer.ai in a nutshell
• Placer.ai's recent $100M round C funding (unicorn valuation!)
• Placer.ai's data
• Placer.ai in the news
• COVID-19 Economic Recovery Dashboard

#LI-AC1

#LI-AC1

WHAT YOU WILL DO

onX is seeking a Senior Backend Engineer with a passion for building scalable platform Identity and Access Management (IAM) systems. Your focus will be on designing, developing, and scaling secure authentication, authorization, and user management services that are foundational to our platform. You will play a key role in evolving our IAM platform and delivering seamless cross-platform authentication across iOS, Android, and web.

You will be part of our Core Services team that enables product teams to build faster and more securely by providing core infrastructure, services, and patterns. This is a great opportunity to help shape the future of how users securely access and interact with onX's suite of outdoor technology products.

This position reports to the Director of Engineering, Core Services.

TECHNOLOGIES WE USE

Our backend engineers primarily work in Go running in Kubernetes on Google Cloud Platform. The IAM team works extensively with identity platforms (Ory Kratos, Hydra, Oathkeeper), distributed databases (CockroachDB), and OAuth 2.0/session management patterns. Understanding mobile authentication tradeoffs (WebView vs. browser-based auth, token-based patterns) is particularly relevant for this role.

As an onX Senior Backend Engineer, your day to day responsibilities would look like:

(Essential Job Duties)

• Build scalable, secure IAM services that enable new features and products across the onX suite of apps
• Design and implement backend systems focusing on observability, fault-tolerance, security, and high performance
• Drive architectural decisions related to Identity and Access Management, ensuring alignment with and advancing our broader platform strategy
• Define and implement SLIs/SLOs for IAM services; drive reliability engineering practices including incident response and performance optimization
• Write thorough unit, integration, and acceptance tests to ensure high service quality and maintainability
• Document APIs, service architectures, and technical decisions for internal stakeholders and external partners as needed
• Collaborate closely with fellow engineers, product managers, and other stakeholders through design reviews, paired programming, and cross-functional planning sessions
• Leverage and extend existing onX services and platform patterns to drive consistency and reduce duplication
• Proactively improve system monitoring, alerting, diagnostics, and operational readiness of IAM-related services
• Participate in an on-call rotation to ensure backend services remain highly available and reliable
• Mentor and share knowledge with engineers on your team
• Lead by example and embody onX's company values, fostering a culture of technical excellence, ownership, and collaboration
•  

LOCATION

onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub". 

• Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option.
• Basecamps: Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure.  
  • Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Charlotte, NC; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. 
• Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members. 
  • Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont.

WHAT YOU’LL BRING

• B.S., M.S., or equivalent experience in computer science or a related field
• Eight or more years of professional software development experience, with API development as a primary focus for at least three of those years
• Strong Go/Golang backend development experience with RESTful API design
• Experience building and debugging distributed, scalable, highly available microservices architecture
• Solid understanding of identity systems: OAuth 2.0, session management, bearer token authentication, SSO integrations
• Experience with distributed databases (CockroachDB or similar PostgreSQL-compatible distributed systems) and relational databases (PostgreSQL, MySQL)
• Excellence in designing and developing modern APIs and scalable systems that ensure reliability and extensibility
• Familiarity with Docker, Kubernetes, and infrastructure-as-code technologies such as Terraform
• Strong computer science foundation
• Security-first mindset -- you think about threat models, secure defaults, and defense in depth as part of your design process
• You evaluate technologies and solutions based on merit, stability, performance, and the ability to debug
• Ability to write maintainable, well-tested code that's easy for others to understand
• A strong sense of ownership of your work
• Advocacy for customers -- both internal colleagues and end users -- and their experience
• Permanent US work authorization is a condition of employment with onX

Preferred Qualifications

Though not required, we would be thrilled to consider candidates with any of the following:

• Experience with identity platforms such as Ory Kratos, Auth0, Cognito, or similar
• Experience with the Ory Stack, especially Hydra, Kratos, and Oathkeeper
• Experience with Authzed SpiceDB, Google Zanzibar, or AWS Cedar for fine-grained authorization
• Understanding of mobile authentication patterns: WebView vs. browser auth tradeoffs, token-based flows across iOS/Android/web
• Reliability engineering experience: SLI/SLO implementation, incident response, performance optimization
• SOC2 compliance experience or familiarity with security audit frameworks
• Experience with Elixir or the Phoenix Framework
• Familiarity with Google Cloud Platform
• Experience working with a distributed team

COMPENSATION

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $146,000 to $182,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE ARE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits including a no-monthly-cost medical plan 
• Parental leave plan of 5 or 13 weeks fully paid
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym
• Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PS@onxmaps.com. 

Position open until filled. 

#LI-Remote

Who We Are  

Core Scientific is a leading provider of infrastructure for high-performance compute in North America. Our mission is to accelerate digital innovation by scaling high-value compute rapidly, efficiently, and responsibly.  We transform energy into high-value compute with unmatched efficiency at scale. The company is a $5 billion publicly traded company (NASDAQ: CORZ).  

We power AI, HPC, and other next-generation data center workloads demanding exceptional computing power, in addition to our digital asset mining operations.  We own and operate nine data centers in seven states, housing advanced infrastructure for our customers.  

What sets us apart? We have an entrepreneurial culture, a "can-do" and collaborative attitude, and we own and control our infrastructure. These strategic advantages enable us to maintain operational excellence, increase efficiency, and rapidly deploy cutting-edge innovations developed by our team of experts.  

Join us and accelerate your career alongside our groundbreaking journey. We seek smart, creative, and collaborative professionals who thrive in a fast-paced, result-driven environment. Ready to be part of something exceptional? Apply today and make an impact at Core Scientific. 

Title 

Staff Site Reliability Engineer 

Reports To 

Site Reliability Engineering Manager 

The Job 

We are seeking a capable, motivated generalist who thrives in a change-controlled, compliant environment and enjoys working across hybrid cloud and on-premises systems. This role partners closely with application architecture and peer engineering teams while contributing hands-on across platform engineering, DevOps, and SRE. 

This position is expected to take ownership of complex technical initiatives and see them through to completion—balancing hands-on implementation with effective delegation and cross-team coordination. 

Responsibilities 

• Lead end-to-end delivery of complex technical initiatives, from problem definition and design through implementation, rollout, and operation 
• Own the design, implementation, and reliability of systems across hybrid cloud and on-premises environments  
• Take accountability for technical outcomes, including system reliability, scalability, and performance in regulated, change-controlled environments  
• Drive execution by coordinating work across engineers and teams, delegating effectively while remaining hands-on where needed  
• Partner with application architecture and peer teams to shape system design and influence technical decisions  
• Build, deploy, and operate infrastructure and applications using automation and infrastructure as code  
• Implement secure, immutable infrastructure using modern tooling (e.g., Terraform, Kubernetes, Helm, Ansible)  
• Improve observability, monitoring, and incident response practices  
• Establish and promote best practices for reliability, security, and operational excellence across teams  
• Mentor engineers and contribute to raising the technical bar across the organization  
• Foster open, respectful, and professional communication directly within the team as well as with co-workers/ teammates and leaders across the organization  
• Performs other duties as assigned 

Qualifications 

• Bachelor's degree in Computer Science or a related field, 7+ years of experience, or equivalent demonstrated impact in SRE, DevOps, or Infrastructure Engineering 
• Broad technical experience across infrastructure and distributed systems, with the ability to design effective solutions, apply appropriate patterns, and anticipate scaling, reliability, and operational challenges  
• Strong understanding of distributed systems behavior, including application runtime characteristics, service-to-service communication, networking, and failure modes in production environments  
• Experience operating in regulated, compliant, or change-controlled environments  
• Experience working in hybrid environments (AWS preferred; on-premises infrastructure required)  
• Strong experience with Infrastructure as Code, configuration management, and orchestration tools (Terraform, Helm, Kustomize, Ansible)  
• Experience with Kubernetes and virtualization technologies  
• Experience with observability platforms (e.g., Datadog), including building monitoring and alerting integrations  
• Experience with build and release systems (e.g., GitHub Actions, Makefiles, Python tooling)  

Location  

To be considered for the role you must reside near Miami, FL or Austin, TX.  

Travel 

Occasional travel may be required 

Work Environment  

This job typically operates in a professional office environment and routinely utilizes standard equipment, including laptop computers and smartphones. This role may also travel to data center sites, and the work environment at a data center may contain loud noise, construction, and other operational elements. 

Physical Demands  

While performing the duties of this job, the employee is frequently required to sit, stand, walk, use hands, and lift up to 25 pounds.    

Position Type/ Expected Hours of Work  

This is a full-time position. General hours and days of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. The employee is expected to be available generally around U.S. time zones and will be part of an on-call rotation. The current rotation is 1 week every 5 weeks. 

Supervisory Experience (Yes or No)  

No 

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

• Design and build new features and enhancements for our global ticketing platforms.
• Optimize for performance in scaling out our applications to handle massive spikes in traffic
• Create services that power the core of our infrastructure, implementing APIs and features for our mission critical back-end products.
• Optimize throughput and dynamically scale our distributed systems to handle traffic and requests in varying from the tens to hundreds of thousands.
• Design and develop scalable, public-facing APIs that enable scalable and robust integration with partner platforms.
• Work closely with other engineers, architects, business analysts, and product managers to create innovative solutions that continue to push the boundaries of our business.
• Participate in design and code reviews to ensure best practices and high-quality code.
• Develop consistent, well tested code on Open Source Programming Languages and Frameworks.
• Work on implementing and developing the latest security measures to fight against fraud and malicious bot attacks

• Have a direct impact on our applications that can scale and handle high demand, as well as complex enterprise systems that meet our global needs.
• Extraordinary People – we’re not kidding!
• Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Opportunities for learning and leveling up through training and education reimbursement.

More about AXS

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $98,000-$164,000/year, with an expected On Target Earnings (OTE) between $109,000-$183,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

About the Role

We are seeking a seasoned SRE / DevOps Manager to lead our reliability and operations engineering team. You will be responsible for ensuring the scalability, security, and performance of our infrastructure while fostering a culture of automation, ownership, and continuous improvement.

At Upshop, we believe that great businesses are built by great people. Our People function is at the heart of our company’s growth, ensuring we attract, develop, and retain A Players who drive our mission forward.

Our Values:

• Extremely Accountable
• Customer Obsessed
• Always Innovating
• Demand Excellence
• Biased for Action

Key Responsibilities

Team Leadership

• Manage and mentor a team of SRE and DevOps engineers.
• Drive hiring, onboarding, and professional development.
• Set clear goals and performance metrics.

Reliability & Incident Management

• Own system uptime, performance, and reliability.
• Lead incident response and root cause analysis.
• Define and monitor SLAs, SLOs, and SLIs.

Infrastructure & Automation

• Oversee cloud infrastructure (Azure).
• Implement Infrastructure as Code (IaC) using tools like Terraform or other similar tools
• Drive automation of CI/CD pipelines and operational tasks.
• Build and manage a DevSecOps process to connect CI/CD pipelines with AzureDevOps, Gitlab etc.

Monitoring & Observability

• Implement and maintain monitoring, alerting, and logging systems.
• Use tools like Datadog or other similar tools like Prometheus, Grafana, ELK stack.

Security & Compliance

• Ensure infrastructure security and compliance with industry standards.
• Collaborate with InfoSec teams on audits and vulnerability management.

Cross-functional Collaboration

• Work closely with software engineering, product, and QA teams.
• Advocate for DevOps and SRE best practices across the organization.

Qualifications

• 10+ years of experience in DevOps, SRE, or infrastructure engineering.
• 2+ years in a leadership or managerial role.
• 3+ years of expertise with Cloud platform deployments
• 3+ years of experience working with MongoDB and cosmosdb
• Strong experience with cloud platforms (AWS, GCP, Azure).
• Proficiency in scripting languages (Power shell scripting, Python, Bash, Go).
• Hands-on experience with Kubernetes, Docker, CI/CD tools.
• Excellent communication and leadership skills.

Preferred Qualifications

• Experience with compliance frameworks (SOC 2, ISO 27001).
• Familiarity with Agile and DevOps methodologies.
• Certifications in cloud technologies or DevOps practices.

Benefits/Perks

• Hybrid Opportunity
• Competitive salary
• Employer-matched 401(k) plan
• Attractive paid time off policy
• Career growth and development opportunities

Compensation Range: $150-$180k CAD

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

SecurityScorecard is building AI capabilities that change how security professionals understand and act on risk. We are looking for a Staff AI Engineer to lead that work. This is the role for the engineer who needs no scaffolding. You identify the problem, design the system, build it, ship it, and improve it — and you bring others along. You use AI-native tools not as a novelty but as a genuine force multiplier, moving at a pace that used to require a full team. You have strong product instincts and are comfortable operating with the ownership and ambiguity of a founding-team environment within an established company.

What You'll Do

• Lead the design and delivery of major AI-powered product initiatives from concept through production, owning the full software development lifecycle
• Define the technical architecture for AI systems at SecurityScorecard: LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks
• Set the standard for how the engineering organization builds with AI, including development practices, tooling choices, and quality bars
• Use Cursor, Claude Code, and AI-native development tools as core instruments, and model what high-velocity, high-quality AI-augmented engineering looks like for the team
• Collaborate directly with product leadership and the CTO organization to shape the AI product roadmap
• Drive architecture reviews, establish cross-team engineering standards, and elevate the technical level of the teams you work with
• Identify and eliminate bottlenecks in how AI features get built, tested, and shipped across the organization
• Operate with Staff-level ownership: you see the whole problem, not just your part of it

Required Skills and Experience

• 7+ years of software engineering experience with a track record of leading complex, high-impact technical projects end-to-end
• Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations
• 3+ years building and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation
• Strong product instincts: you think about user problems and business outcomes, not just technical implementation
• Proficiency in TypeScript and strong backend engineering fundamentals with experience in distributed systems at scale
• Fluency with AI-native development workflows (Cursor, Claude Code, or equivalent) as a primary engineering practice, not an experiment
• Cloud infrastructure experience (AWS preferred) and comfort with the full production stack
• Exceptional communication: able to drive alignment across product, engineering, and executive stakeholders

Our Tech Stack

TypeScript / JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL

Nice to Have

• Prior experience in a Staff or Principal engineering role with cross-team technical influence
• Background in cybersecurity, threat intelligence, or enterprise risk products
• Experience building and operating agentic AI systems, multi-agent orchestration, or LLM evaluation infrastructure
• Track record of defining engineering standards or leading technical strategy at the organizational level
• Experience in high-growth, Series C/D+ companies where engineering velocity and quality both matter

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $170,000 - $215,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a Senior AI Engineer who ships. This is a hands-on builder role for an engineer who is as comfortable defining the architecture of an agentic workflow as they are reviewing the production code that runs it. You will work at the intersection of LLMs, distributed systems, and real customer problems, turning emerging AI capabilities into features that security teams rely on every day.

What You'll Do

• Design, build, and ship customer-facing AI-powered product features using TypeScript, Go, and AWS, owning quality and reliability end-to-end
• Architect and implement agentic workflows, LLM pipelines, and intelligent automation that help customers surface faster, more actionable security insights
• Integrate foundation models into existing product surfaces with a practical eye toward latency, cost, output quality, and evaluation
• Use AI-native development tools (Cursor, Claude Code, and similar) as a core part of your workflow, setting the standard for how this team builds
• Lead architecture and code reviews with a focus on production-grade reliability, security, and maintainability
• Partner with product and design to translate user needs into compelling AI-driven experiences, contributing product judgment alongside technical execution
• Own projects end-to-end from concept through production, including monitoring, iteration, and improvement post-launch
• Stay current with the AI tooling and foundation model landscape and bring relevant advances into our roadmap and practices

Required Skills and Experience

• 5+ years of professional software engineering experience with a strong track record shipping customer-facing product features
• 2+ years of hands-on experience building AI-powered applications in production, including LLM integration, prompt design, and output evaluation
• Proficiency in TypeScript and strong backend engineering fundamentals
• Demonstrated ability to own complex projects end-to-end across the full software development lifecycle
• Experience designing and operating distributed systems in cloud environments (AWS preferred)
• Hands-on experience with CI/CD, containerization (Docker, Kubernetes), and production deployment practices
• Strong computer science fundamentals including systems design, data structures, and networking
• Fluency with AI-native development workflows including AI-assisted coding tools as part of day-to-day engineering
• Clear, direct communication with both technical and non-technical stakeholders

Our Tech Stack

TypeScript / JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL

Nice to Have

• Experience with agentic AI systems, multi-agent orchestration, or retrieval-augmented generation (RAG)
• Familiarity with LLM evaluation frameworks and production observability for AI systems
• Background in cybersecurity, threat intelligence, or compliance-focused products
• Experience with high-scale data systems and large structured datasets
• Full-stack delivery experience and comfort working across the product surface

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $155,000 - $185,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Job Summary:

As a Product Security Engineer working in our Federal accounts, you will gain invaluable experience at a visionary identity security company. The position requires a passion for application security, solving both technical and organizational challenges, with the ability to work in a challenging, distributed and Infrastructure-as-Code development environment, excellent communications skills, and attention to the latest security best practices.

This role focuses on product security (application security) for Ping’s identity platform. Product Security Engineers partner closely with engineering teams to review code, identify vulnerabilities, and improve the security posture of production software across Ping’s revenue-generating products.

We are particularly interested in engineers who developed a passion for security and transitioned into application security or DevSecOps roles. Candidates with a background in software engineering, platform engineering, or DevOps who now focus on security are strongly encouraged to apply.

Responsibilities:

• Own multiple Security Engineering assignments working with Ping Identity products, processes, and tooling
• Assist in proposing, developing, and improving Secure Software Development Lifecycle (SSDLC) practices alongside global, high-performance product engineering teams
• Work with the product teams to perform security design/code reviews and vulnerability assessment and management in an agile environment
• Perform application security tasks including threat modeling, developer code reviews, consulting, static code analysis, dynamic runtime fuzzing, building custom tools, and automation and exploit development
• Assist the Federal presales, support, and customer success teams responding to prospect, customer, and field questions related to product and industry security
• Engage with third-party security consultants for independent security assessments, bug bounties, and penetration testing of the product

Required Qualifications:

• Ability to meet U.S. citizenship and residency eligibility requirements associated with supporting FedRAMP-regulated environments.
• 2+ years of application security experience across areas such as API Security, Web Application Security, Enterprise Application Security, and Mobile Application Security
• 3+ years of developing commercial software products
• Hands-on experience working with Secure Software Development Lifecycle (SSDLC) security tooling, such as source code scanning tools (SAST) and third-party dependency or software composition analysis (SCA)
• Strong understanding of modern authentication and identity standards, including OAuth 2.0, OpenID Connect (OIDC), and SAML
• Ability to review application code for security vulnerabilities, ideally in Java or Go
• Experience identifying and mitigating vulnerabilities aligned with OWASP Top 10
• Familiarity with cloud-native application environments, including Google Cloud Platform (GCP) or AWS, and containerized platforms such as Docker and Kubernetes
• Understanding of networking protocols and modern data center architecture
• Exceptional problem-solving skills, curiosity about the inner workings of systems, and strong attention to detail and documentation

Preferred Qualifications:

• Experience in security and compliance for FedRAMP solutions, including understanding of NIST, DoD, and related security standards
• Security certifications such as CISSP, CSSLP, GIAC, or OSCP
• Experience with Linux environments, administration, security, internals
• Experience with identity and access management (e.g. OAuth 2.0, OpenID Connect, SAML 2.0, Active Directory, 2FA/MFA, LDAP, SCIM, FAPI, OpenBanking)
• Experience with CI/CD in Federal or US government cloud deployment (e.g., AWS GovCloud, Azure, or GCP)
• Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
• Experience in vulnerability management measurement, reporting, and remediation

Salary Range: $133,060-$175,000
In accordance with Colorado’s Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities.

Job Summary:

As a Product Security Engineer working in our Federal accounts, you will gain invaluable experience at a visionary identity security company. The position requires a passion for application security, solving both technical and organizational challenges, with the ability to work in a challenging, distributed and Infrastructure-as-Code development environment, excellent communications skills, and attention to the latest security best practices.

This role focuses on product security (application security) for Ping’s identity platform. Product Security Engineers partner closely with engineering teams to review code, identify vulnerabilities, and improve the security posture of production software across Ping’s revenue-generating products.

We are particularly interested in engineers who developed a passion for security and transitioned into application security or DevSecOps roles. Candidates with a background in software engineering, platform engineering, or DevOps who now focus on security are strongly encouraged to apply.

Responsibilities:

• Own multiple Security Engineering assignments working with Ping Identity products, processes, and tooling
• Assist in proposing, developing, and improving Secure Software Development Lifecycle (SSDLC) practices alongside global, high-performance product engineering teams
• Work with the product teams to perform security design/code reviews and vulnerability assessment and management in an agile environment
• Perform application security tasks including threat modeling, developer code reviews, consulting, static code analysis, dynamic runtime fuzzing, building custom tools, and automation and exploit development
• Assist the Federal presales, support, and customer success teams responding to prospect, customer, and field questions related to product and industry security
• Engage with third-party security consultants for independent security assessments, bug bounties, and penetration testing of the product

Required Qualifications:

• Ability to meet U.S. citizenship and residency eligibility requirements associated with supporting FedRAMP-regulated environments.
• 2+ years of application security experience across areas such as API Security, Web Application Security, Enterprise Application Security, and Mobile Application Security
• 3+ years of developing commercial software products
• Hands-on experience working with Secure Software Development Lifecycle (SSDLC) security tooling, such as source code scanning tools (SAST) and third-party dependency or software composition analysis (SCA)
• Strong understanding of modern authentication and identity standards, including OAuth 2.0, OpenID Connect (OIDC), and SAML
• Ability to review application code for security vulnerabilities, ideally in Java or Go
• Experience identifying and mitigating vulnerabilities aligned with OWASP Top 10
• Familiarity with cloud-native application environments, including Google Cloud Platform (GCP) or AWS, and containerized platforms such as Docker and Kubernetes
• Understanding of networking protocols and modern data center architecture
• Exceptional problem-solving skills, curiosity about the inner workings of systems, and strong attention to detail and documentation

Preferred Qualifications:

• Experience in security and compliance for FedRAMP solutions, including understanding of NIST, DoD, and related security standards
• Security certifications such as CISSP, CSSLP, GIAC, or OSCP
• Experience with Linux environments, administration, security, internals
• Experience with identity and access management (e.g. OAuth 2.0, OpenID Connect, SAML 2.0, Active Directory, 2FA/MFA, LDAP, SCIM, FAPI, OpenBanking)
• Experience with CI/CD in Federal or US government cloud deployment (e.g., AWS GovCloud, Azure, or GCP)
• Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
• Experience in vulnerability management measurement, reporting, and remediation

Salary Range: $133,060-$175,000
In accordance with Colorado’s Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities.

The Role:

As a Senior Sales Engineer at Ping Identity, you'll merge your enthusiasm for identity management with a commitment to customer success. In collaboration with our dynamic sales team, you will engage in customer meetings, demonstrations, and proof of concepts, showcasing the business and technical benefits of our solutions. Your role is pivotal in enabling personal, team, and customer achievements through insightful and innovative solutions that meet technical and business needs.

This role offers the chance to showcase your technical and consultative skills, engaging with stakeholders of various roles and levels to understand and meet their technical requirements with cutting-edge solutions. Your expertise in Identity and Access Management (IAM) technologies will be key in delivering impactful solutions that align with customer business goals.

Responsibilities:

• Deliver pre-sales activities including solution demonstrations, presentations, technical guidance, proof of concepts, and RfX responses.
• Act as the go-to technical expert on Ping Identity solutions for customers, partners, and internal teams.
• Establish enduring relationships with customers and become their trusted advisor
• Collaborate with the sales team to deliver revenue. Emphasis during key sales cycle phases of Qualification, Discovery, and Technical Proof Phase 
• Coordinate, throughout sales cycle, pre-sales efforts with a post-sales service delivery team
• Leading customer-facing meetings, both through videoconferencing and in-person to, deliver presentations, whiteboarding sessions, and demonstrations of Ping Identity solutions and their value remotely, in-person, and at industry events
• Provide insightful feedback on product enhancements and customer needs to product owners.
• Mentoring, both formally and informally, junior team members
• Develop subject matter expert-level knowledge of at least one of Ping Identity's solutions and serve as an expert resource to other Sales Engineers within the organization
• Able to travel 15% to 40% as needed

Required Skills & Qualifications:

• Bachelor’s degree in computer science or equivalent field, or 5+ years' experience with enterprise-level software systems in a customer-facing role, such as pre-sales, consulting, support, or training
• Deep knowledge of standard identity protocols: SAML, WS-Fed, OAuth, OIDC, and SCIM as well as experience with REST interfaces
• Deep knowledge of technologies that underly identity solutions: LDAP (including Active Directory), SSL/TLS, PKI, RADIUS, SQL, DNS, JDBC
• Experience with one or more modern programming languages and web technologies: JavaScript, Python, Node.js, HTTP, HTML, CSS, JSON, Java.
• Expertise in developing and delivering effective technical presentations, workshops, customized demonstrations, and proof of concepts
• Strong communication and customer service skills.
• Adept at linking technical capabilities to customer needs.
• Ability to work with a high level of self-direction and/or collaboratively with team and customers
• Knowledge of a subset of the following IAM concepts: Authentication / Authorization / Federation / Single Sign-On / User Lifecycle Management / Provisioning / Governance / Workflow / 
• Eagerness to learn; expertise in specific business areas or industry verticals is a bonus.
• Familiarity with infrastructure, networking technologies, and cloud service providers.

Ideal Candidate Skills:

• Installation and/or configuration of one or more IAM technologies from Ping, Okta, Auth0, Sailpoint, CA, Oracle or similar
• Experience with several types of web applications servers and operating systems: Windows, Mac, RedHat, Ubuntu, Apache, Nginx, Tomcat
• Experience with DevOps processes and platforms such as GitHub, Terraform, Kubernetes, and Helm, as well as deployment in major cloud environments (AWS, Microsoft Azure, Google Cloud Platform)
• Successful delivery of a SaaS-based IAM solution
• Experience in Ping multi-tenant SaaS solutions: PingOne SSO, PingID, PingOne MFA, PingOne Verify, PingOne Protect, PingOne Authorize, and DaVinci

Base Hiring Range: $135,000-$155,000 + Commissions

In accordance with Colorado’s Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities.

Position Overview:

Zynga is looking for a server-side engineer in the Austin, Chicago, Bay Area, or Toronto areas, and more specifically, someone whose level of experience should be equivalent to a Senior Software Engineer on the Wizard of Oz Slots.

We have a well-rounded and tight-knit, distributed team with a healthy mix of engineering skill levels, and are looking to strengthen our team.  We need a self-driven and motivated engineer who is a strong communicator, works well as a team player, and performs well under pressure of tight deadlines.  

The candidate would have an opportunity to work on critical game components that contribute to user-facing features, gameplay functionality, existing functionality & systems, and have a general focus on solving challenging problems for high profile titles. 

What You'll Do:

• Design, architect, and support back-end services running in AWS

• Develop, integrate, and advocate for new technologies and tools

• Load-test, benchmark and optimize infrastructure

• Define, architect, and develop features and gameplay functionality in PHP

• Maintain and develop CI/CD pipelines and infrastructure-as-code tooling

• Provide escalation support and infrastructure monitoring

• Follow engineering standard methodologies to ensure code quality, performance and reliability

• Work to identify and help to improve team and process inefficiencies

• Help to mentor other engineers

What You Bring:

• Degree in a technical field (e.g., Computer Science, Computer Engineering) or equivalent experience

• 5+ Years of backend software development experience

• Deep hands-on experience with cloud computing (preferably AWS)

• Experience maintaining and developing CI/CD pipelines and infrastructure-as-code tooling

• Experience with PHP 

• Experience building and operating high-traffic, low-latency backend systems at scale

• Strong familiarity and experience with database systems (SQL, NoSQL)

• Solid foundation in data structures, algorithms and software methodologies

• Strong communication skills and comfort working in a collaborative environment

Bonus Points:

• Prior game development experience (on shipped titles or live games experience)

• Experience with Chef, Terraform and/or Jenkins

• Experience in Vue.js or similar frontend frameworks

• Experience migrating monolithic architectures to distributed microservices

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

The pay range for this position in Ontario at the start of employment is expected to be between $96,400 and $142,660 CAD per Year.

The pay range for this position in California at the start of employment is expected to be between $108,900 and $161,160 per Year.

The pay range for this position in Illinois at the start of employment is expected to be between $98,100 and $145,200 per Year.

However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

Position Overview

We’re looking for a Senior Site Reliability Engineer to help build and scale a high-impact SRE function. You’ll be a technical leader on a team responsible for improving system reliability, reducing operational toil, and establishing best practices across engineering.bIn this position, you’ll design how reliability works in UJET, influence engineering decisions, and build the tooling and processes that make production safer and more predictable. 

Responsibilities

• Lead efforts to improve system reliability, scalability, and performance across critical services
• Define and implement SLIs/SLOs and error budgets, and use them to guide engineering priorities
• Design and develop observability systems (metrics, logging, tracing, alerting) that produce actionable alerts and data with minimal noise
• Lead complex incident response, acting as incident commander when needed
• Conduct postmortems focused on systemic causes rather than individual fault, and ensure corrective actions from those reviews are completed.
• Identify and eliminate toil through automation, tooling, and improved workflows
• Partner with product and platform teams on architecture decisions, production readiness, and designing systems that recover from failure
• Build reusable systems and “paved roads” that make it easier for teams to operate their services reliably
• Mentor other engineers and raise the overall operational maturity of the organization

Qualifications

• 6 - 10+ years of experience in SRE, infrastructure, or backend systems engineering
• Demonstrated experience of owning reliability outcomes for complex, distributed systems
• Strong experience with cloud infrastructure (AWS, GCP, or Azure) and production-scale systems
• Deep understanding of observability, incident management, and system performance
• Proficiency in at least one programming language (e.g., Go, Python, Java) with a focus on automation and tooling
• Able to change how other teams work without having managerial authority over them
• Strong competency in making clear decisions during incidents by following a defined process without reacting emotionally.

Nice to Have

• Experience building or scaling SRE practices (SLOs, incident frameworks, on-call models)
• Kubernetes/container orchestration experience
• Infrastructure as Code (Terraform, etc.)
• Experience with high-growth or scaling systems
• Background in performance engineering or capacity planning

Success Criteria

• Critical services have clear, meaningful SLOs that drive engineering decisions
• Alerts are actionable; irrelevant alerts are reduced; on-call workload is manageable.
• Incidents are handled efficiently, and repeat issues decline over time
• Engineering teams adopt reliability best practices with minimal friction
• Toil is actively reduced through automation and better system design

Position Context

This is an early position in the company's SRE function. You will have direct input into how reliability standards and practices are established, which forms the foundation on which product engineering builds. UJET is changing how companies deliver customer experience, and product engineering is building the platform that makes that possible. The reliability of that infrastructure is what allows it to operate at the scale and consistency that transformation requires.

Annual US Hiring Range: $100,000 - $120,000

*A candidate’s actual placement within this range will depend on geographic location, work experience, education, and/or skill level.

#LI-Remote

#LI-Hybrid

Site Infrastructure Engineer (Networking & Compute)

About the team

The Site Infrastructure team owns server and network infrastructure across Avride's physical locations — AV garages and offices. We ensure R&D and fleet operations have the reliable compute and connectivity they need as the autonomous vehicle fleet scales.

About the role

You will own two domains: server hardware and on-site networking. This is a hands-on, on-site role that puts you at the center of building and scaling the physical infrastructure behind Avride's self-driving technology.

What you will do

• Assemble, image, rack, and cable custom-built servers — often non-standard configurations with the latest CPUs and GPUs
• Deploy and maintain switches, routers, and structured cabling across garage and office sites
• Troubleshoot and resolve hardware, network, and ISP connectivity issues end to end
• Select server configurations based on workload requirements and hardware trade-offs
• Maintain high-throughput network performance and uptime across all locations
• Manage physical site infrastructure: rack layouts, cabling runs, power, cooling, and equipment lifecycle
• Create and maintain internal documentation: runbooks, infrastructure diagrams, and configuration notes
• Partner with engineering and operations teams to support testing, development, and production needs

What you will need

• Proficiency with enterprise network equipment at an administrator or engineer level (MikroTik, Cisco, Juniper, Ubiquiti, FS, or similar)
• Strong grasp of routing, switching, VLANs, and high-throughput network architecture
• Solid Linux administration skills (system-level configuration, diagnostics, networking stack)
• Experience assembling, troubleshooting, and selecting optimal server hardware configurations
• Comfort with physical work: racking, stacking, cabling, and maintaining server room environments

Nice to have

• Experience with server room or small-DC design (power planning, cooling, layout)
• Familiarity with NixOS or declarative system management
• Scripting skills (Python, Bash)
• Experience with Infrastructure as Code tools (Terraform, Ansible)
• Track record of scaling infrastructure in a fast-growing environment