Workday

1 week 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: 8 hours agoStatus: Live

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

Website LinkedIn

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Workday

1 week 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: 8 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn