Software Development Engineer - Ml Ops (us Federal)

SBDC

Mclean, VA, United States
Base: $137,000 - $205,400 usd (primary location); ...
Fully remote
Devops experience including infrastructure automation
Proficient in python programming
Experience with kubernetes and docker
The Workday ML Runtime team is seeking an energetic and determined Software Engineer to design, implement, and deliver highly scalable features for our Machine Learning Runtime platform

Job Summary

  • The Workday ML Runtime team is seeking an energetic and determined Software Engineer to design, implement, and deliver highly scalable features for our Machine Learning Runtime platform.
  • This role offers the opportunity to work closely with Data Scientists, ML Engineers, and other Software Engineers to create technology that powers Workday Machine Learning features in production.
  • Workday provides a culture rooted in integrity, empathy, and shared enthusiasm, offering trust, tools to grow, skills development, and long-term company support.

Matching Summary

The Workday ML Runtime team is seeking an energetic and determined Software Engineer to design, implement, and deliver highly scalable features for our Machine Learning Runtime platform.

Salary

Base: $137,000 - $205,400 USD (Primary Location); Bonus/Equity: Eligible for Workday Bonus Plan and stock grants; Benefits: Not specified

Skills & Requirements

Must-have

  • DevOps experience including infrastructure automation
  • Proficient in Python programming
  • Experience with Kubernetes and Docker
  • Design and maintain CI/CD pipelines
  • Deploy and orchestrate containers in production
  • Work with public cloud platforms like AWS and GCP
  • On-call support availability

Nice-to-have

  • Machine learning background
  • Experience with monitoring tools like Grafana
  • Passion for documentation and run books
  • Experience leading or mentoring team members
  • Collaborative and inclusive team player
  • Experience with service mesh and ArgoCD
  • Strong problem-solving skills

Key Requirements

  • US Citizenship required
  • 5+ years DevOps experience for Senior level
  • 3+ years DevOps experience for Intermediate level
  • Ability to obtain and maintain TS/SCI w/CI Poly security clearance
  • BS/MS in Computer Science or related field
  • Experience building CI/CD pipelines and infrastructure automation
  • Experience with distributed systems and microservices

Work Rights

Must have US citizenship

Tailored Resume

Cover Letter