Senior AI Engineer, Platform Infra & CI/CD

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

Benefits offered by this job

Stock options

Long-term incentives

401(k) plan

Medical coverage

Parental leave

Vacation time

Paid holidays

Disability insurance

Job summary

United States Digital Space LLC seeks an Sr. AI Engineer, Platform Infrastructure, to design deployment tooling for classified environments and to drive CI, testing, and monitoring across air-gapped and on-prem/cloud targets.

The role emphasizes deterministic, well-tested tooling for cleared engineers. You will own the provisioning, cross-profile pipelines, and integration with existing infrastructure while ensuring operations at scale.

Qualifications

• Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or 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, 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 Lang

Kubernetes

Top Secret clearance

CI/CD pipelines

Education

Bachelor's degree in CS/engineering/math/physical sciences

Tools

Buildkite

GitHub Actions

Pulumi

Terraform

NVIDIA drivers

CUDA

NCCL

InfiniBand/RoCE

PXE boot

cloud-init

squashfs

bare metal provisioning

Job description

United States Digital Space LLC seeks an Sr. AI Engineer, Platform Infrastructure, to design deployment tooling for classified environments and to drive CI, testing, and monitoring across air-gapped and on-prem/cloud targets.

The role emphasizes deterministic, well-tested tooling for cleared engineers. You will own the provisioning, cross-profile pipelines, and integration with existing infrastructure while ensuring operations at scale.