Site Reliability Engineer, AI Infrastructure (Starshield)
Palo Alto · Hawthorne · Palo Alto - 1200 · Redmond, WA · Washington, DC · 1+ years experience · Posted Sep 22, 2026
At a glance
- Experience
- 1+ years experience
- Location
- Palo Alto · Hawthorne · Palo Alto - 1200 · Redmond, WA · Washington, DC
About the role
- As an engineer focused on Starshield's software and GPU infrastructure, you will design, operate and scale the infrastructure that supports critical national security missions.
- These positions cover a variety of areas ranging from Site Reliability Engineering, Developer Operations, and GPU platforms.
- You will develop automation to deploy and manage on-premise compute resources, create highly scalable and maintainable software products, and directly collaborate with engineering across the board.
Responsibilities
- Manage GPU/CPU infrastructure deployments to Top Secret data centers
- Manage and provide support for GPU as a service for external customers on bare metal hardware and virtualized platforms
- Design, validate, and productize solutions for AI clusters (100k+ GPU scale)
- Develop automation to deploy and manage on-premise KubernetesAI clusters, and operating systems
- Deploy and manage core infrastructure such as databases, monitoring and distributed storage
- Closely collaborate with AI engineers to create highly scalable, operable, and maintainable products
- Engage in and improve the whole lifecycle of services -- from inception and design, through deployment, operation and refinement
- Monitoring and alerting supporting systems to have high availability
- Identify areas for improvement and create innovative solutions that enable high system availability
Requirements
- Bachelor’s degree in computer science, information systems/IT, or an engineering discipline and 1+ years of professional experience in site reliability engineering or DevOps; OR 3+ years of professional experience in site reliability engineering or DevOps in lieu of a degree
- 1+ years of professional experience with Linux operating systems
- Experience with Terraform, Ansible, or other infrastructure tools
- Experience with containerization technologies (i.e. OCI containers, Kubernetes)
- Experience scripting in Bash, Python, or other similar languages
- Development experience in Python, C++, or Go
Preferred qualifications
- 1+ years of experience with Python and Python-based development frameworks
- Experience managing Kubernetes clusters, not just using them
- Knowledge of Linux boot process and systems configuration
- Deep understanding of testing, continuous integration, build, deployment & continuous monitoring
- Understanding of relevant build technologies, such as Bazel and Makefiles
- Focus on performance bottlenecks and performance improvement techniques
- Understanding of distributed databases and data modeling
- Experience with automatically managing thousands of servers (eg: Terraform or Ansible)
Benefits
- Long-term incentives in the form of company stock or long-term cash awards
- Potential discretionary bonuses
- Employee Stock Purchase Plan
- Comprehensive medical, vision, and dental coverage
- 401(k) retirement plan
- Short and long-term disability insurance
- Life insurance
- Paid parental leave
- 3 weeks of paid vacation
- 10 or more paid holidays per year
Workplace
- Must be willing to travel domestically and globally in the future when needed
Skills
- Linux
- Terraform
- Ansible
- Kubernetes
- Bash
- Python
- C++
- Go
- Bazel
- Makefiles
- NVIDIA GPU