Software Development Engineer - Ml Ops (us Federal)

Workday

Mclean, VA, United States
Base: $137,000 usd - $205,400 usd; bonus/equity: n...
On-site
Kubernetes and docker
Python programming
Ci/cd pipelines
Workday is seeking a Software Development Engineer for their ML Ops team in McLean, VA, to design and deliver scalable features for their Machine Learning Runtime platform. The ideal candidate will possess strong DevOps skills, particularly with Kubernetes and Python, and must be a U.S. citizen due to government contract requirements

Job Summary

  • Develop frameworks, automation, and tooling to foster a culture of efficiency and innovation.
  • Apply technologies like Kubernetes, Docker, and Python to enhance developer scalability in creating innovative ML Runtime Inference applications.
  • Implement and operate distributed systems and software development including conception, specification, design, programming, documentation, testing, and bug fixing.

Matching Summary

Match Score: 85

Workday is seeking a Software Development Engineer for their ML Ops team in McLean, VA, to design and deliver scalable features for their Machine Learning Runtime platform. The ideal candidate will possess strong DevOps skills, particularly with Kubernetes and Python, and must be a U.S. citizen due to government contract requirements.

Salary

Base: $137,000 USD - $205,400 USD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Kubernetes and Docker
  • Python programming
  • CI/CD pipelines
  • Infrastructure automation
  • Distributed systems development

Nice-to-have

  • Machine learning background
  • Public cloud experience
  • Service Mesh and ArgoCD
  • Proactive issue resolution
  • Leading or mentoring team members

Key Requirements

  • 5+ years DevOps experience (Senior)
  • 3+ years DevOps experience (Intermediate)
  • US Citizenship required
  • Ability to obtain TS/SCI w/CI Poly clearance

Work Rights

US Citizenship required

Tailored Resume

Cover Letter