Senior SRE: AI Infra & GPU Clusters

InvestedintheMission; Redmond (WA); On-site; USD 165,000 - 270,000; Full time

Benefits offered by this job

Stock options

401(k) plan

Medical, vision, dental coverage

Paid time off

Company shuttle

Job summary

SpaceX is seeking a Sr. Site Reliability Engineer (Starshield) to design, operate, and scale GPU/CPU infrastructure for critical national security data centers in a Starshield environment.

You will automate on-prem Kubernetes/AI clusters, deploy databases and monitoring, and collaborate with AI engineers to deliver scalable, reliable software products. The role requires Top Secret/DOE-level clearance, 5+ years in Linux/Kubernetes, and strong scripting in Bash or Python.

Qualifications

• Bachelor’s degree in computer science, information systems/IT, or an engineering discipline, or 7+ years of relevant experience.
• 5+ years of professional Linux experience.
• 5+ years of Kubernetes experience.
• Experience with Terraform, Ansible, or similar infrastructure tools.
• Experience with containerization (OCI containers, Kubernetes).
• Scripting in Bash or Python.
• Development in Python, C++, or Go.

Responsibilities

• Manage GPU/CPU infrastructure deployments to Top Secret data centers.
• Provide GPU-as-a-service support on bare metal and virtualized platforms.
• Design and productize AI cluster solutions (100k+ GPUs).
• Develop automation for on-prem Kubernetes/AI clusters and OS.
• Deploy core infra: databases, monitoring, and distributed storage.
• Mentor junior engineers and lead the team to technical excellence.

Skills

Kubernetes

Linux

Bash/Python scripting

Go/Python/C++ development

Education

Bachelor’s degree in CS/IT/Engineering

7+ years experience without degree

Tools

Terraform

Ansible

OCI containers/Kubernetes

Job description

SpaceX is seeking a Sr. Site Reliability Engineer (Starshield) to design, operate, and scale GPU/CPU infrastructure for critical national security data centers in a Starshield environment.

You will automate on-prem Kubernetes/AI clusters, deploy databases and monitoring, and collaborate with AI engineers to deliver scalable, reliable software products. The role requires Top Secret/DOE-level clearance, 5+ years in Linux/Kubernetes, and strong scripting in Bash or Python.