Sr Software Development Engineer

Workday
United States
Workplace: HybridFull timeUSD 163,800 - 245,800 annuallyFunction: Product ManagementExperience: 3+ yearsEducation: bachelorsSkills: ["Collaboration","Problem-solving","Documentation","Teamwork","Innovation"]

Design and deliver scalable features for the Workday Machine Learning Runtime platform, including microservices that power ML capabilities in production. Build developer-focused tooling and frameworks, implement and operate distributed systems, and deploy/orchestrate containers using Kubernetes and related technologies. Partner with data scientists and ML engineers, develop end-to-end features with infrastructure as code, and contribute to reliability-focused adoption of new ML tools.

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FursaFursa
Workday
Workday
1 week ago

Sr Software Development Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 days agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Design and deliver scalable features for the Workday Machine Learning Runtime platform, including microservices that power ML capabilities in production. Build developer-focused tooling and frameworks, implement and operate distributed systems, and deploy/orchestrate containers using Kubernetes and related technologies. Partner with data scientists and ML engineers, develop end-to-end features with infrastructure as code, and contribute to reliability-focused adoption of new ML tools.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Develop frameworks, automation, and tooling to improve efficiency and innovation for ML Runtime developers.
  • •Implement and operate distributed systems, including designing, coding, testing, documenting, and fixing software components end to end.
  • •Deploy and orchestrate production container workloads using Kubernetes, Service Mesh, ArgoCD, and related tools.
  • •Build and maintain DevOps/CI-CD pipelines for deploying, monitoring, and scaling the ML runtime environment, including infrastructure as code.
  • •Partner with Tech Leads and ML Engineers to refine requirements, research and prototype new ML tools, and provide rotational on-call support.

Pay and Benefits

Salary: USD 163,800 - 245,800 annually
Equity and Bonus:Equity

Key Requirements

  • •US Citizenship is required.
  • •3+ years of DevOps experience, including infrastructure automation and building CI/CD pipelines.
  • •Proficiency in Python, plus strong system design and technical documentation skills.
  • •Experience with Kubernetes/Docker and developing/maintaining ML runtime deployment pipelines for monitoring and scaling.
  • •Experience with public clouds (AWS/GCP) and capacity management principles.
Experience:3+ yearsDevOpsMachine learning
Education:Bachelor's in Computer Science
Skills:CollaborationProblem-solvingDocumentationTeamworkInnovation
Certifications:DoD 8570/8140 compliantIAT Level IIComputing Environment (CE)
Tech Stack:PythonKubernetesDockerAWSGCPTerraformGitJenkinsArgoCDService MeshGrafanaCI/CDRESTMicroservicesInfrastructure as code

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.
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