Senior Software Development Engineer (full Stack)

Workday Workday · Enterprise · Vancouver, BC +1

Senior Full Stack Software Engineer to build user-facing and platform experiences for AI agents embedded in HR and Financial workflows. This role focuses on turning AI technology into usable products, owning features end-to-end from development to production, and collaborating with ML engineers and product managers.

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
  • 5+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
  • 5+ years with a Relational DB (PostgreSQL preferred)
  • 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

Nice to have

  • 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
  • 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
  • seeing your work run in production
  • building real products
  • solving meaningful problems
  • people who care about quality and craft

Other signals

  • production-grade AI
  • intelligent agents
  • AI-driven capabilities
  • AI, platform architecture, and human workflows