Description
We’re Workday, a leading AI platform for managing people, money, and agents. As a Full Stack Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life.
Working within a small, cross-functional pod, you’ll design and ship full stack solutions,from intuitive front-end experiences to resilient backend services that integrate AI-driven capabilities deeply into HR and Finance workflows.
Your responsibilities:
- Build and deliver full stack features that power AI agents embedded in HR and Financial workflows
- Own services and experiences from development through production,you build it, you run it
- Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning
- Share knowledge, mentor teammates, and help raise the technical bar across the pod
Basic Qualifications:
- 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
Other Qualifications:
- 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
Workday Pay Transparency Statement: The base pay range for this role is $132,800 CAD - $199,200 CAD.
Our Approach to Flexible Work: We combine the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.