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
Python programming proficiency
Ci/cd pipeline development
Workday is seeking a Software Development Engineer specializing in MLOps to join their ML Runtime team in McLean, VA. The role involves developing scalable features for the machine learning platform, requiring strong DevOps experience, proficiency in Python, and a collaborative mindset

Job Summary

  • Develop frameworks, automation, and tooling to foster efficiency and innovation in the ML Runtime team.
  • Apply technologies like Kubernetes, Docker, and Python to enhance developer scalability in creating innovative 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 specializing in MLOps to join their ML Runtime team in McLean, VA. The role involves developing scalable features for the machine learning platform, requiring strong DevOps experience, proficiency in Python, and a collaborative mindset.

Salary

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

Skills & Requirements

Must-have

  • Kubernetes and Docker
  • Python programming proficiency
  • CI/CD pipeline development
  • Infrastructure automation
  • Distributed systems implementation

Nice-to-have

  • Machine learning background
  • Enterprise SaaS experience
  • Public cloud experience
  • Service Mesh and ArgoCD

Key Requirements

  • US Citizenship required
  • 5+ years DevOps experience (Senior)
  • 3+ years DevOps experience (Intermediate)
  • System design and technical documentation
  • Ability to obtain TS/SCI w/CI Poly clearance

Work Rights

US Citizenship required

Tailored Resume

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