Software Development Engineer - ML Ops (US Federal)

Workday
United States
Workplace: HybridFull timeUSD 137,000 - 205,400 annuallyFunction: Government & Public AdministrationExperience: 3+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Technical documentation","Inquisitiveness","Process improvement"]

Design and deliver scalable features for a machine learning runtime platform used in production. You’ll build frameworks, automation, and DevOps pipelines that deploy, monitor, and scale ML inference capabilities. Partner with data scientists and ML engineers to implement distributed microservices and improve developer self-service. Work with AWS/GCP and container orchestration (Kubernetes, service mesh, ArgoCD), using infrastructure-as-code and capacity management for reliable operations.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Workday
Workday
1 month ago

Software Development Engineer - ML Ops (US Federal)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 29 days agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Design and deliver scalable features for a machine learning runtime platform used in production. You’ll build frameworks, automation, and DevOps pipelines that deploy, monitor, and scale ML inference capabilities. Partner with data scientists and ML engineers to implement distributed microservices and improve developer self-service. Work with AWS/GCP and container orchestration (Kubernetes, service mesh, ArgoCD), using infrastructure-as-code and capacity management for reliable operations.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Government & Public Administration
Seniority: Mid level

Key Responsibilities

  • •Develop frameworks, automation, and tooling to improve efficiency and innovation.
  • •Apply Kubernetes, Docker, and Python to enable scalable ML Runtime inference applications.
  • •Build and operate distributed systems, including full-cycle software development (design, implementation, testing, and bug fixing).
  • •Deploy and orchestrate containers in production (including Kubernetes, service mesh, and ArgoCD).
  • •Own end-to-end features, including infrastructure-as-code, and research new ML tools with reliability and scale in mind.

Pay and Benefits

Salary: USD 137,000 - 205,400 annually

Key Requirements

  • •US Citizenship is required.
  • •3+ years of DevOps experience, including infrastructure automation and building CI/CD pipelines.
  • •Proficient in Python programming.
  • •Experience with Kubernetes/Docker to help developers scale ML runtime applications.
  • •Knowledge of infrastructure automation tools (e.g., Terraform) and CI/CD/deployment tooling (e.g., Git, Jenkins, ArgoCD).
Experience:3+ years
Education:Bachelor's in Computer Science or a related technical field
Skills:CollaborationProblem-solvingTechnical documentationInquisitivenessProcess improvement
Tech Stack:PythonKubernetesDockerAWSGCPTerraformGitJenkinsArgoCDService MeshCI/CDInfrastructure as codeRESTful servicesMicroservicesGrafanaDistributed systems

Eligibility

Nationality:US National
Security Clearance:TS/SCI w/CI Poly

Company Brief

Workday
Provides cloud-based enterprise applications for human capital management, financial management, payroll, and analytics. Delivers unified HR and finance software suites to large organizations, enabling workforce planning, talent management, payroll, and financial reporting.
Industry: HR Tech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Pleasanton, United States
Founded: 2005
WebsiteLinkedIn