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An overview of this role
As a Lead People Systems Engineer, you'll drive how GitLab's People systems evolve through an AI-first transformation mindset, putting AI to work across everything we build. You won't just support our people systems, you'll build them: owning the code, pipelines, and integrations that keep GitLab's People automation ecosystem running reliably at scale across Workato, Google Cloud, Claude, Workday, and the tools that power our global workforce. This is a strong fit if you think like a software engineer first, write clean and maintainable code, and thrive at the intersection of people systems, AI, innovation, and automation engineering.
In this role, you'll be the technical backbone of our People Technology team, designing, building, and maintaining the automations, agents, and integrations that connect Workday, Greenhouse, Slack, and internal tools. You'll be the go-to technical thought partner for the people group on complex engineering decisions, and your work will compound over time: fewer manual processes, stronger system reliability, and a People technology foundation that scales without friction.
What You’ll Do
- Own the design, development, and maintenance of people system automations and integrations across Workato, Google Cloud Platform, Claude, Workday, Greenhouse and GitLab, writing reliable, well-tested code that runs at scale.
- Build and maintain integrations between Workday, Greenhouse, Slack, and internal tools using Workday Web Services (WWS) and Slack's API and Bot SDK, diagnosing failures proactively and driving uptime and reliability improvements across the automation stack.
- Write, version, and maintain automation code in Ruby (or comparable scripting languages) stored in GitLab, with clear documentation, code reviews, and disciplined change management practices.
- Develop and manage Slack apps and bots that deliver intuitive, automated workflows, reducing friction for People teams and employees across a globally distributed workforce.
- Move past surface-level requests to diagnose root problems, challenge assumptions, and co-design automation solutions that are durable, scalable, and built to last.
- Serve as subject matter expert on Workato automation architecture, driving standardization, reusability, and scalability across the People technology integration layer.
- 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.
How GitLab will support you
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental leave
- Home office support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$126,400—$213,600 USD
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
