Senior AI Platform Infra Engineer — Top Secret Clearance

SpaceX; Union Hill-Novelty Hill (WA); On-site; USD 220,000 - 350,000; Full time

Benefits offered by this job

Stock options

Long-term incentives

Medical coverage

Dental coverage

Vision coverage

401(k) retirement plan

Paid time off

Paid holidays

Job summary

SpaceX is seeking a Sr AI Engineer for Platform Infrastructure to build tooling that enables cleared engineers to operate in classified environments. You will deliver deterministic, well-tested solutions and own critical pipelines across public cloud, on-prem, and air-gap targets.

Requirements include a CS/engineering degree and 5+ years in Go or Python and Kubernetes. Expect extended hours, travel to government sites, and eligibility for Top Secret clearance.

Qualifications

• Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or an engineering discipline.
• 5+ years of experience in Go Lang and/or Python.
• 5+ years of experience working with Kubernetes or similar tooling for automating, developing and scaling containerized applications.

Responsibilities

• Design and build the deployment generator.
• Create and maintain platform documentation.
• Build the bundle pipeline.
• Implement profile-driven rendering for public cloud, on-prem, and classified air-gap targets based on profile selection.
• Build and maintain the cross-profile CI matrix.
• Build the testing and validation framework.
• Integrate with the existing Supercompute team's operators, Helm charts, and CRDs by consuming their work as inputs to the generator without modifying production infrastructure.
• Own the monitoring stack migration.

Skills

Go

Python

Kubernetes

Education

Bachelor's degree (CS/Math/Engineering)

Tools

Buildkite

GitHub Actions

Pulumi

Terraform

Job description

SpaceX is seeking a Sr AI Engineer for Platform Infrastructure to build tooling that enables cleared engineers to operate in classified environments. You will deliver deterministic, well-tested solutions and own critical pipelines across public cloud, on-prem, and air-gap targets.

Requirements include a CS/engineering degree and 5+ years in Go or Python and Kubernetes. Expect extended hours, travel to government sites, and eligibility for Top Secret clearance.