Full Stack Software Engineer - Agent Platform

Workday•Boulder, CO

1d•$123,900 - $222,000•Hybrid

About The Position

The Agent Platform team delivers a new AI focused experience for Workday customers, and most importantly their employees. We are at the forefront of Workday’s AI & Agentic initiatives with the objective to deliver and integrate Agentic capabilities across the entire Workday platform, including the widespread adoption and AI powered Assist features, rapid creation and deployment of Workday-native AI Agents, and the delivery of Workday’s Agent System of Record. Focus Area: Data Engineering & Trust Systems We are seeking to engineer the intelligent data backbone and verified trust systems that power Workday’s AI and Agents. This role will specifically be part of the Agent Trust and Inspection team, with responsibilities including Agent Safety Scanning, Attestation, Observability, and enhancing the Customer Experience for Agent Management. This is a unique opportunity at the intersection of Agent development, operation, security, and identity. Why Join the Agent Platform Team? The Data & Frontier: Tackle unique challenges in Agentic AI utilizing Workday’s exclusive, high-integrity enterprise datasets. Impact at Scale: Your contributions will act as the crucial optimizer and gatekeeper of quality for products that reach 31 million global users. People-First Culture: We cultivate a culture that balances high-intensity innovation with a strong commitment to sustainable work-life integration. As a Full Stack Engineer in the Agent Trust and inspection team, you’ll help build the user-facing and platform experiences that increase trust 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

5+ years of experience in software engineering
2+ years experience writing performant backend services(Java Spring boot/GO/Python/any modern OOP language)
2+ years of experience with React and Typescript for Front End / Full stack development
2+ years experience in deploying applications on public cloud or/and Kubernetes
Bachelor's degree in a computer related field or equivalent work experience
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