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# Site Reliability Engineer, AI Infrastructure (Starshield)

- **Company:** Space Exploration Technologies Corp.
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Salary:** $165,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bash Shell, Booting (BIOS), C++ (Programming Language), Cloud Computing, Information Systems, Databases, System Configuration, Continuous Integration, Data Centers, Linux, DevOps, Distributed Data Store, Make (Software), Python (Programming Language), Reliability Engineering, Ansible, AI Infrastructure, Scripting, Computer Networking Systems, System Availability, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Bare Metal, Hardware Infrastructure, Terraform, Oracle Cloud Infrastructure, Network Server
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_spacex-8807840002

## About the Role

excellence - your decisions guide the team BASIC QUALIFICATIONS: + Bachelor's degree in computer science, information systems/IT, or an engineering discipline and 5+ years of professional experience with Linux operating systems; OR 7+ years of professional experience in software, DevOps, or site reliability engineering in lieu of a degree + 5+ year of experience with Kubernetes + 5+ year of experience managing 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 SKILLS AND EXPERIENCE: + 5+ 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) + Strong networking knowledge of TCP/IP + Cloud virtualization experience (as the cloud provider) + Experience using NVIDIA GPU deployment stacks (Blackwell/Rubin) + Excellent
communications skills with the ability to communicate with customers, peers, management etc. in both formal and informal situations + Active Top Secret, Top Secret SCI, or DOE Level Q clearance ADDITIONAL REQUIREMENTS: + Must be willing to work extended hours and weekends as needed + Must be willing to travel domestically and globally in the future when needed + This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment.
While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer.
Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role.

## Description

We design, build, test, and operate all parts of the system - receivers that allow users to connect within minutes, and the software that brings it all together.
We've only begun to scratch the surface of Starshield's global impact and are looking for best-in-class engineers to help us further our ambitious goals.
As an engineer focused on Starshield's software and GPU infrastructure, you will design, operate and scale the infrastructure which 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 Kubernetes\AI 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 + Mentor and train junior engineers + As a senior engineer you must lead the team to technical