ML Ops Software Engineer — Build Scalable ML Runtime

Workday, Inc.; Reston, Northern (VA, KY); Hybrid; USD 160,000 - 260,000; Full time

Job summary

Workday Government in Reston, VA is seeking a Software Development Engineer - ML Ops with security clearance to design and deliver scalable ML runtime features. You will partner with data scientists and ML engineers to deploy microservices, use Kubernetes, Docker, and IaC to automate pipelines.

The role requires 7+ years in DevOps, Python, and CI/CD, plus a TS/SCI clearance; on-site work in the DMV area is expected.

Qualifications

• 7+ years of professional DevOps experience with CI/CD pipeline development.
• Strong Python programming and container orchestration experience (Docker, Kubernetes).
• Bachelor’s degree in Computer Science, STEM field, or equivalent practical experience.

Responsibilities

• Develop and operate ML runtime platforms and inference pipelines.
• Design, implement, and deploy scalable microservices on cloud and on-premises.
• Deploy and manage containers with Kubernetes in production.
• Collaborate with ML engineers and data scientists to enable end-to-end ML workflows.
• Build automation and IaC using Terraform; enable GitOps with ArgoCD.
• Provide on-call support and drive reliability improvements.

Skills

DevOps engineering

Python

Kubernetes

CI/CD

Education

Bachelor's degree in Computer Science or STEM field

Tools

Terraform

Git

ArgoCD

Jenkins

Job description

Workday Government in Reston, VA is seeking a Software Development Engineer - ML Ops with security clearance to design and deliver scalable ML runtime features. You will partner with data scientists and ML engineers to deploy microservices, use Kubernetes, Docker, and IaC to automate pipelines.

The role requires 7+ years in DevOps, Python, and CI/CD, plus a TS/SCI clearance; on-site work in the DMV area is expected.