### Who you are

• If you enjoy building real products, solving meaningful problems, and working with people who care about quality and craft, you’ll feel right at home here
• 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
• Senior Software Development Engineer:
• 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
• 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 job involves

• 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
• This role is about turning powerful technology into products people actually use: scalable, reliable systems that simplify complex business processes for customers around the world
• You’ll collaborate closely with machine learning engineers, product managers, and platform teams, owning features end to end and seeing your work run in production
• 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