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 expertise
Python programming proficiency
Devops pipelines for ml
We’re shaping the future of work so teams can reach their potential and focus on what matters most

Job Summary

  • We’re shaping the future of work so teams can reach their potential and focus on what matters most.
  • 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 shaping the future of work so teams can reach their potential and focus on what matters most.

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: May be eligible for bonus plan or commission/bonus and annual stock grants

Skills & Requirements

Must-have

  • Kubernetes and Docker expertise
  • Python programming proficiency
  • DevOps pipelines for ML
  • Infrastructure automation
  • Distributed systems development
  • Public cloud experience (AWS, GCP)

Nice-to-have

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

Key Requirements

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

Work Rights

Must have US citizenship

Tailored Resume

Cover Letter