Description
We're hiring a Workday Engineer to help design, build, and operate the systems that power critical people workflows at OpenAI.
This is a highly technical role for someone who combines strong Workday expertise with real engineering fluency. You'll build reliable integrations, improve system architecture, automate complex workflows, and help connect Workday to internal tools, external platforms, and emerging AI-driven systems.
You should be comfortable going beyond configuration work. We're looking for someone who can reason through ambiguous systems problems, write and debug technical solutions, work effectively in Git-based environments, and use modern developer workflows, including CLI-driven tooling, to build and operate with speed and discipline.
You'll partner closely with cross-functional teams across People, Finance, Security, and Engineering, including our People Innovations team, to build systems that are secure, scalable, and practical. Some work will involve improving mature production infrastructure; some will involve building entirely new workflows and capabilities from scratch.
Design, build, and maintain Workday integrations, applications, and workflow automations across domains such as payroll, benefits, recruiting, performance, and case management.
Improve the reliability, quality, and scalability of People systems through strong engineering, testing, and operational practices.
Build technical solutions that connect Workday with internal platforms, external vendors, and AI-powered tooling.
Contribute to more agentic internal workflows by helping design systems that combine HR data, automation, orchestration, and intelligent tooling.
Use Git-based development practices, code review, and structured change management to deliver safely in a fast-moving environment.
Use CLI-based tools and developer workflows to build, test, troubleshoot, and support production systems efficiently.
Partner with stakeholders across People, Finance, Security, and Engineering to translate business needs into durable technical solutions.
Establish and raise standards for observability, security, supportability, and long-term maintainability across the People systems stack.