Software Development Engineer - ML Ops; US Federal

Workday Government focuses on outcomes that serve U.S. federal agencies and modernize the employee lifecycle and finance operations. The role is part of the Workday ML Runtime team.

This position supports one or more contracts with the U.S. Federal Government. Only U.S. Citizens (naturalized or native) may apply. TS/SCI clearance with CI Poly may be required.

• Develop frameworks, automation, and tooling to foster a culture of efficiency and innovation.
• Apply technologies such as Kubernetes, Docker, Python to enhance developer scalability for ML Runtime Inference applications.
• Design, implement, test, document, and maintain distributed systems and software components.
• Develop products and services that empower developers to streamline interactions with the ML platform.
• Work with public clouds (IaaS, AWS, GCP) and apply capacity management principles.
• Deploy and orchestrate containers in production using Kubernetes, Service Mesh, ArgoCD, and related tools.
• Collaborate with tech leads and ML engineers to elaborate requirements and drive technical solutions.
• Own and develop features end-to-end, including infrastructure as code.
• Research, evaluate, prototype, and adopt new ML tools with reliability and scale in mind.
• Automate processes to improve productivity and address issues proactively.
• Provide on‑call support on a rotating basis.

• U.S. Citizenship is required.
• 3+ years of Dev Ops experience, including infrastructure automation and CI/CD pipelines.
• Strong system design skills and ability to write comprehensive technical design documentation.
• Proficiency in Python programming.
• Design, implement, and maintain robust Dev Ops pipelines for deploying, monitoring, and scaling ML runtime environments.
• Experience with Kubernetes/Docker for developer scaling.
• Collaborate with ML teams to improve product and engineering efficiencies.

• Background in machine learning.
• Experience with communication protocols, RESTful services, SOA, distributed systems, and microservices.
• Building monitoring services and using tools like Grafana.
• Experience with enterprise SaaS products.
• Passion for creating and maintaining documentation and runbooks.
• Availability for on‑call support on a rotation.
• Proficiency in infrastructure automation tools (Terraform, Git, Jenkins, ArgoCD).
• BS/MS in Computer Science or related field.
• Excellent problem‑solving and documentation skills.
• Experience leading or mentoring team members and facilitating collaboration.

Primary

Location:

USA.VA.Reston. Base pay range: $137,000 - $205,400 USD. Additional U.S. locations: $123,900 - $222,000 USD.

Workday requires staff to spend at least 50% of their time each quarter in the office or field.

Workday is an Equal Opportunity Employer, including individuals with disabilities and protected veterans. Workday meets Fair Chance law requirements and considers qualified applicants with arrest and conviction records. All applicants can demonstrate skills; accommodations available via