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Software Development Engineer - ML Ops (US Federal)

Workday

Reston, VA · full time · Mid

$137,000 – $205,400

Listed on Workday’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role develops infrastructure and tooling for a machine learning platform that runs on federal government infrastructure, working with containerization, cloud services, and DevOps automation to support data scientists and engineers building ML features.

Our summary, not Workday’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

  • US citizenship
  • 3+ years of DevOps experience with infrastructure automation and CI/CD pipeline development
  • Proficiency in Python
  • System design and technical documentation capability
  • Kubernetes and Docker experience
  • Ability to obtain and maintain a TS/SCI w/CI Poly security clearance

Nice to have

  • Machine learning background
  • Experience with communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices
  • Comprehensive monitoring service development
  • Enterprise SaaS product experience
  • Grafana or similar monitoring tools
  • Infrastructure automation tools like Terraform, CI/CD with Git and Jenkins, ArgoCD deployment tools
  • BS/MS in Computer Science or related technical field
  • Team leadership or mentoring experience

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