Workday
Software Development Engineer - ML Ops (US Federal)
$124K–$222K
USA.VA.Reston · Flex · Full-time · Posted Sep 29, 2026
- Experience
- 3 or more years of DevOps experience.
- Education
- BS/MS in Computer Science or a related technical field.
- Visa sponsorship
- U.S. citizenship is required.
About the job
Build and operate scalable infrastructure, automation, and microservices for Workday’s machine-learning runtime and inference platform.
What you'll do
- Develop and maintain frameworks, DevOps pipelines, and tools for deploying, monitoring, and scaling the ML runtime.
- Design, implement, and operate distributed systems and containerized services, including infrastructure as code and capacity management.
- Partner with ML and engineering teams to deliver platform features, improve developer self-service, and support production systems on a rotating on-call basis.
What they ask for
- U.S. citizenship.
- 3 or more years of DevOps experience, including infrastructure automation and building CI/CD pipelines.
- Proficiency in Python and experience with Kubernetes and Docker.
- Strong system-design skills and ability to write comprehensive technical design documents.
Nice to have
- Machine-learning background; experience with enterprise SaaS, distributed systems, monitoring tools such as Grafana, or mentoring teammates.
- Active TS/SCI w/CI Poly clearance is preferred.
Pay
$137,000 USD - $205,400 USD (base salary); $123,900 USD - $222,000 USD (base salary)
Tools
Kubernetes, Docker, Python, AWS, GCP, Service Mesh, ArgoCD, Terraform
AI focus
Develop and operate infrastructure and tooling for machine-learning runtime and inference applications; research and adopt ML tools with reliability and scale in mind.
Model-written summary · the original posting is authoritative