AI Platform Infra Engineer - Deployment & Tooling

SpaceX

Washington

On-site

USD 125,000 - 220,000

Full time

9 days ago
Application generator

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Benefits offered by this job

Stock options
401(k) plan
Medical coverage
Dental coverage
Vision coverage
Paid parental leave
Vacation and holidays

Job summary

SpaceX is seeking an AI Engineer, Platform Infrastructure to design and build deployment tooling for sensitive environments and to enable cleared engineers to operate independently at classified sites. You will own the end-to-end deployment generator, pipeline, and monitoring migration, while aligning with our Supercompute and infrastructure teams.

You should have a strong background in Go or Python, hands-on Kubernetes experience, and the ability to work extended hours and travel to government

Qualifications

  • Bachelor’s degree in computer science, mathematics, computer engineering, physics, data science, or an engineering discipline.
  • 1+ years of experience in Go Lang and/or Python.
  • 1+ 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, enterprise 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 tooling

Education

Bachelor’s degree in CS/Math/CE/Physics/Data science/Engineering

Tools

Buildkite
GitHub Actions
Pulumi
Terraform

Job description

SpaceX is seeking an AI Engineer, Platform Infrastructure to design and build deployment tooling for sensitive environments and to enable cleared engineers to operate independently at classified sites. You will own the end-to-end deployment generator, pipeline, and monitoring migration, while aligning with our Supercompute and infrastructure teams.

You should have a strong background in Go or Python, hands-on Kubernetes experience, and the ability to work extended hours and travel to government

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