Software Engineer Iii/senior Software Engineer (full Stack)

Workday Workday · Enterprise · Vancouver, BC

Workday is seeking a Full Stack Software Engineer to join their Agent Factory team. This role will focus on building user-facing and platform experiences for AI agents integrated into HR and Finance workflows. The engineer will be responsible for designing and shipping full-stack solutions, owning services end-to-end, and collaborating with ML engineers and product managers to deliver production-grade AI products at scale.

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

  • 8+ years of experience in software engineering (for Senior)
  • 5+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
  • 5+ years with a Relational DB (PostgreSQL preferred)
  • 5+ years of experience in software engineering (for P3)
  • 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

  • Familiarity with agentic coding tools such as Claude Code or Cursor
  • Familiarity with agentic design patterns and when to use agents vs. code
  • Experience in building agentic products is a plus
  • 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
  • Exposure to additional programming languages like Java (backend) and TypeScript (frontend/fullstack) is a plus
  • Proven success working within fast-paced, agile environments and cross-functional teams
  • Strong communication skills, with the ability to collaborate with both technical and non-technical partners

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 that simplify complex business processes for customers around the world
  • seeing your work run in production
  • people who care about quality and craft

Other signals

  • production-grade AI
  • deeply embedded into Workday's platform
  • scale responsibly
  • turning powerful technology into products people actually use