Staff Engineer, People Technology

Maintain and improve CI/CD pipelines and deployment practices for People system automation, ensuring changes are tested, reviewed, and safely deployed using GitLab.

Leverage AI tools, large language models (LLMs), and Model Context Protocol (MCP) frameworks, including Claude, to accelerate automation development and identify opportunities to eliminate manual work across the People Group.

Provide technical guidance to teammates and stakeholders, proactively communicating context and decision-making, partnering closely with InfoSec, AI Engineering, and IT, and raising the bar for how automations, agents, and integrations are built, documented, and maintained.

Exercise independent judgment on methods and evaluation criteria to obtain quality results, leading others by sharing solutions and problem-solving approaches.

What You’ll Bring

Hands-on experience writing and maintaining code in Ruby or a comparable scripting language (Python, PHP, etc.), you're comfortable in a codebase, write code others can read and maintain, and are willing to learn Ruby if you haven't already.

Deep expertise in Workato or a comparable enterprise automation/integration platform, with a track record of building reliable, scalable automation workflows in production environments.

Strong experience integrating with Workday using Workday Web Services (WWS), with the instinct to build integrations that are durable, observable, and handle edge cases well.

Experience building Slack apps and automations using Slack's API and Bot SDK, with an eye for delivering workflows that actually get used.

Proficiency with Git and GitLab for version control, code review, and CI/CD workflows, you treat automation code like production software, not scripts on someone's laptop.

Familiarity with Google Cloud Platform (GCP) or AWS; experience with Docker and Kubernetes (GKE is a bonus) for running and maintaining automation services.

Experience connecting HR systems including Workday, Greenhouse, and internal tools, with strong instincts for where integration points break and how to keep them reliable.

Comfort working with AI tools and MCP frameworks to accelerate development, automate repetitive work, and push the boundaries of what people technology can do.

Strong communication skills, you can translate technical architecture into clear decisions and stakeholder updates, and you know when to surface a risk versus just fix it.

An engineering mindset applied to people systems: you treat reliability, observability, and maintainability as first-class concerns, not afterthoughts.

People system fluency, you understand how HR data flows, why it matters, and how to build automations that handle it with care and accuracy.

Intellectual curiosity and a bias for action, you don't wait to be told what's brittle; you find it, frame the fix, and drive it forward.

About the team

The People Technology team is building the systems foundation that allows GitLab to scale as a global, all-remote company. We don't just keep the lights on, we push the bar on what people technology can do, constantly improving reliability, usability, and intelligence across the platforms that power our People organization. We work across core systems, integrations, automation, and compliance, partnering closely with stakeholders across time zones to move fast, build with purpose, and create an experience where technology enables people to do their best work.