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 expertise
Python programming proficiency
Ci/cd pipeline development
Workday is seeking a Software Development Engineer for its Machine Learning Runtime team, focusing on developing scalable features for ML applications. The role requires strong DevOps experience, proficiency in Python, and familiarity with containerization technologies like Kubernetes and Docker, along with U.S. citizenship and the ability to obtain a security clearance

Job Summary

  • Design, implement, and deliver highly scalable features for the Machine Learning Runtime platform.
  • Develop frameworks, automation, and tooling to foster efficiency and innovation in ML Runtime Inference applications.
  • Work with public clouds and apply capacity management principles, deploying and orchestrating containers in production environments.

Matching Summary

Match Score: 85

Workday is seeking a Software Development Engineer for its Machine Learning Runtime team, focusing on developing scalable features for ML applications. The role requires strong DevOps experience, proficiency in Python, and familiarity with containerization technologies like Kubernetes and Docker, along with U.S. citizenship and the ability to obtain a security clearance.

Salary

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

Skills & Requirements

Must-have

  • Kubernetes and Docker expertise
  • Python programming proficiency
  • CI/CD pipeline development
  • Infrastructure as Code

Nice-to-have

  • Machine learning background
  • Cloud platform experience (AWS, GCP)
  • Service Mesh and ArgoCD knowledge

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