SRE: Kubernetes Platform - Scale, Secure, Automate

InvestedintheMission; Hawthorne (CA); On-site; USD 145,000 - 195,000; Full time

Benefits offered by this job

Stock options

Health, vision and dental coverage

Paid parental leave

Job summary

SpaceX in Hawthorne, CA is seeking a Site Reliability Engineer for the Kubernetes Platform with Top Secret clearance to design scalable systems supporting data products.

You will deploy and manage on‑prem and cloud resources, scale GPU‑accelerated workloads, and collaborate with software teams to build secure, reliable services across the lifecycle from development to operation. A TS clearance is required or active.

Qualifications

• Bachelor's degree in computer science, 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

Scripting (Bash/Python)

Clearance (TS/SCI/DOE)

Education

Bachelor's degree in CS/IS/Engineering

Tools

Virtualization

Cloud & On‑prem deployment

Job description

SpaceX in Hawthorne, CA is seeking a Site Reliability Engineer for the Kubernetes Platform with Top Secret clearance to design scalable systems supporting data products.

You will deploy and manage on‑prem and cloud resources, scale GPU‑accelerated workloads, and collaborate with software teams to build secure, reliable services across the lifecycle from development to operation. A TS clearance is required or active.