Software Development Engineer - Ml Ops (us Federal)

Workday

Mclean, VA, United States
Primary location base pyy range: $137,000 usd - $2...
Fully remote
Kubernetes and docker
Python programming proficiency
Devops pipelines
As a member of the fast-paced Workday ML Runtime team, you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday Machine Learning features in production

Job Summary

  • As a member of the fast-paced Workday ML Runtime team, you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday Machine Learning features in production.
  • Key responsibilities include developing frameworks, automation, and tooling to foster a culture of efficiency and innovation, applying technologies like Kubernetes, Docker, and Python to enhance developer scalability.
  • This role will support one or more direct or indirect contracts with the U.S. Federal Government which, due to federal government security requirements, mandates that all Workday personnel working on the contracts be United States citizens.

Matching Summary

As a member of the fast-paced Workday ML Runtime team, you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday Machine Learning features in production.

Salary

Primary Location Base Pay Range: $137,000 USD - $205,400 USD; Additional US Location(s) Base Pay Range: $123,900 USD - $222,000 USD; Bonus/Equity/Benefits: Not specified

Skills & Requirements

Must-have

  • Kubernetes and Docker
  • Python programming proficiency
  • DevOps pipelines
  • Distributed systems development
  • Public cloud experience (AWS, GCP)
  • Container orchestration

Nice-to-have

  • Curious minds and courageous collaborators
  • Sun-drenched optimism and drive
  • Passion for exploring innovative techniques
  • Superlative collaborator and teammate
  • Machine learning background
  • Enterprise SaaS products experience

Key Requirements

  • US Citizenship required
  • 5+ years DevOps experience (Senior)
  • 3+ years DevOps experience (Intermediate)
  • Infrastructure automation experience
  • Building CI/CD pipelines
  • System design expertise
  • Technical design documentation
  • Ability to obtain and maintain security clearance

Work Rights

US Citizenship required

Tailored Resume

Cover Letter