SRE: Kubernetes Platform Engineer (TS Clearance)

Spacex

Hawthorne, Northern (CA, KY)

Hybrid

USD 145,000 - 195,000

Full time

6 days ago
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Job summary

SpaceX is seeking a Site Reliability Engineer to design and operate scalable, secure infrastructure supporting classified data products. The role encompasses on-prem and cloud resources, automation, and collaboration with software teams to deliver reliable services.

The candidate will work with GPU-accelerated workloads, databases, monitoring, and storage while maintaining a focus on lifecycle management and operational excellence. A Top Secret clearance is required.

Qualifications

  • Bachelor’s degree in CS, information systems, or an engineering discipline; OR 2+ years of professional experience in software, DevOps, or site reliability engineering in lieu of a degree
  • 1+ year of experience with Kubernetes
  • 1+ year of experience with Linux operating systems
  • Experience in Bash, Python, and/or other scripting languages
  • Experience building, maintaining, and scaling on-premises and/or cloud systems
  • Active Top Secret, Top Secret SCI, or DOE Level Q clearance

Responsibilities

  • Develop automation to deploy and manage compute resources both on-premises and in the cloud
  • Build, maintain, and scale on-premises hardware systems designed to host GPU-accelerated machine learning workloads
  • Deploy and manage core infrastructure such as databases, monitoring and storage
  • Closely collaborate with software 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

Skills

Kubernetes
Linux
Bash
Python
On-prem/cloud

Education

Bachelor’s degree in CS/IS/Engineering; OR 2+ years of related experience

Job description

SpaceX is seeking a Site Reliability Engineer to design and operate scalable, secure infrastructure supporting classified data products. The role encompasses on-prem and cloud resources, automation, and collaboration with software teams to deliver reliable services.

The candidate will work with GPU-accelerated workloads, databases, monitoring, and storage while maintaining a focus on lifecycle management and operational excellence. A Top Secret clearance is required.

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