Senior AI Platform Engineer, Infra for Classified Sites

United States Digital Space LLC; Hawthorne (CA); On-site; USD 220,000 - 350,000; Full time

Benefits offered by this job

Stock options

Medical coverage

401(k)

Paid parental leave

Paid vacation

Holidays

Disability insurance

Job summary

United States Digital Space LLC is seeking a Sr. AI Engineer, Platform Infrastructure, Special Programs to design and build deployment tooling and cross-profile pipelines for cloud and air-gapped environments.

The role collaborates with cleared engineers at classified sites and ensures deterministic, well-tested tooling for engineers operating without direct support. The position requires 5+ years in Go/Python and Kubernetes, with capability for extended hours, some travel to government sites,

Qualifications

• Bachelor's degree or higher in CS, engineering, or related field.
• 5+ years of experience in Go and/or Python.
• 5+ years of experience with Kubernetes or similar tooling for automating, developing and scaling containerized applications.
• Ability to obtain and maintain a Top Secret clearance.

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 air-gap targets based on profile selection.
• Build and maintain the cross-profile CI matrix.
• Build the testing and validation framework.
• Integrate with the Supercompute team’s operators, Helm charts, and CRDs by consuming their work as inputs to the generator.
• Own the monitoring stack migration.

Skills

Go / Python

Kubernetes

CI/CD pipelines

Cloud & on-prem

Education

Bachelor's degree in CS/Engineering/Math/Physics/Data Science

Tools

Pulumi

Terraform

Buildkite

GitHub Actions

NVIDIA drivers

Job description

United States Digital Space LLC is seeking a Sr. AI Engineer, Platform Infrastructure, Special Programs to design and build deployment tooling and cross-profile pipelines for cloud and air-gapped environments.

The role collaborates with cleared engineers at classified sites and ensures deterministic, well-tested tooling for engineers operating without direct support. The position requires 5+ years in Go/Python and Kubernetes, with capability for extended hours, some travel to government sites,