About The Position

Workday is seeking creative, results-oriented, and collaborative Principal Full-Stack Engineers to help build and scale the next generation of our Agentic system. As a Principal Full Stack Engineer in the Agent Trust and Inspection team, you’ll help build the user-facing and platform experiences that increase trust in AI agents. 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, security partners and platform teams, owning features end to end and seeing your work run in production. 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.

Requirements

  • 12+ years of experience in software engineering or experience and equivalent educational background
  • 5+ years experience writing performant backend services(Java Spring boot/GO/Python/any modern OOP language )
  • 5+ years of experience with React and Typescript for Front End / Full stack development
  • Experience designing full stack application end to end
  • Experience with identity federation and standards like OAuth2, OIDC, or DIDs (Decentralized Identifiers)
  • Bachelor's degree in a computer related field or equivalent work experience

Nice To Haves

  • Familiarity with agentic coding tools such as Claude Code or Cursor
  • Experience building and operating products in cloud environments (AWS preferred/GCP/Azure)
  • Familiarity with cryptographic libraries for implementing digital signatures and attestation verification
  • Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
  • Hands-on experience with containerization technologies (Docker, Kubernetes)
  • 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

Responsibilities

  • Build and deliver full stack features that power AI agents security
  • 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

Benefits

  • Workday Bonus Plan
  • role-specific commission/bonus
  • annual refresh stock grants
  • comprehensive benefits

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What This Job Offers

Job Type

Full-time

Career Level

Principal

Education Level

Associate degree

Number of Employees

5,001-10,000 employees

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