Mid/Sr Software Development Engineer (US Federal)

What you'll do

• Design, implement, and maintain pipelines to deploy, monitor, and scale machine-learning runtime environments.
• Build infrastructure automation and help operate, tune, and monitor platform clusters and services.
• Collaborate with machine-learning and application teams; create technical documentation and provide rotating on-call support.

What they ask for

• 3+ years of DevOps experience for the Software Development Engineer role, or 5+ years for the Senior Software Development Engineer role, including infrastructure automation and CI/CD pipelines.
• Proficiency in Python and system design, including writing comprehensive technical design documents.
• Experience with Kubernetes/Docker and deploying, monitoring, and scaling machine-learning runtime environments.
• U.S. citizenship; ability to obtain and maintain a U.S. government security clearance, if required.

Nice to have

• Active TS/SCI w/CI Poly clearance.
• DoD 8570/8140 compliance with at least IAT Level II certification, a current CE credential, and one approved certification.

Pay

$123,900 USD - $222,000 USD (base salary)

Tools

Python, Kubernetes, Docker, Terraform, Git, Jenkins, ArgoCD, Grafana

AI focus

Build and operate DevOps pipelines and runtime environments for machine learning; collaborate with machine-learning teams.