Software Development Engineer (full Stack)

Workday Workday · Enterprise · Seattle, WA +2

Full Stack Software Engineer to build user-facing and platform experiences for AI agents embedded in HR and Financial workflows. The role involves designing and shipping full stack solutions, integrating AI-driven capabilities into existing workflows, and owning services from development through production. This is a production-grade AI role focused on building scalable and reliable systems for enterprise customers.

What you'd actually do

  1. Build and deliver full stack features that power AI agents embedded in HR and Financial workflows
  2. Own services and experiences from development through production—you build it, you run it
  3. Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning
  4. Share knowledge, mentor teammates, and help raise the technical bar across the pod

Skills

Required

  • 5+ years of experience in software engineering
  • 2+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
  • 2+ years of experience with React and Typescript for Front End / Full stack development
  • 2+ years with a Relational DB (PostgreSQL preferred)
  • Bachelor's degree in a computer related field or equivalent work experience

Nice to have

  • Experience building and operating SaaS products in cloud environments (AWS preferred)
  • Familiarity with the tradeoffs and architecture of modern distributed systems
  • Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
  • Hands-on experience with containerization technologies (Docker, Kubernetes)
  • Familiarity with Elasticsearch
  • Experience working within fast-paced, agile environments and multi-functional teams
  • Strong communication skills, with the ability to collaborate with both technical and non-technical partners
  • Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
  • Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement

What the JD emphasized

  • production-grade AI
  • deeply embedded into Workday’s platform
  • not research experiments or maintenance work
  • own problems end to end
  • shape how agents reason, act, and scale responsibly
  • turning powerful technology into products people actually use
  • scalable, reliable systems
  • owning features end to end and seeing your work run in production

Other signals

  • production-grade AI
  • deeply embedded into Workday’s platform
  • turning powerful technology into products people actually use
  • scalable, reliable systems that simplify complex business processes
  • owning features end to end and seeing your work run in production