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
Infrastructure automation
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us

Job Summary

  • We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
  • As a member of this fast paced group you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday Machine Learning features in production.
  • In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.

Matching Summary

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.

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: Role may be eligible for Workday Bonus Plan or role-specific commission/bonus, as well as annual refresh stock grants

Skills & Requirements

Must-have

  • Kubernetes and Docker
  • Python programming
  • Infrastructure automation
  • CI/CD pipelines
  • Distributed systems
  • ML Runtime Inference applications

Nice-to-have

  • Curious minds and courageous collaborators
  • Sun-drenched optimism and drive
  • Empathy and shared enthusiasm
  • Machine learning background
  • Enterprise SaaS products experience

Key Requirements

  • 3 or more years of DevOps experience
  • 5 or more years of DevOps experience
  • US Citizenship is required
  • Ability to obtain and maintain a U.S. government issued security clearance
  • BS/MS in Computer Science or related field

Work Rights

Must have US citizenship

Tailored Resume

Cover Letter