Level

GitLab

People Systems Engineer

GitLab is hiring a People Systems Engineer for a remote role open to applicants in India. Level rates it ; you can apply on Level.

AI in this role

Build and maintain integrations, automations, and AI-powered workflows across enterprise people systems at GitLab.

claudeworkdaygreenhouseslackworkatogoogle-cloud-platform
ai-agentssystem-integrationautomationworkflow-designsoftware-engineering

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An overview of this role

At GitLab, People technology never stands still, and as a People Systems Engineer, you’ll build what keeps it moving. Reporting to the Senior Director, People Technology, and working alongside our Lead People Systems Engineer, you’ll design, build and maintain the automations, integrations and AI-powered workflows that connect Workday, Greenhouse, Slack and the tools that power our global workforce. You’ll own features from request through tested code, deployment and ongoing reliability across Workato, Google Cloud and Claude. With an AI-forward mindset, you’ll rethink how People work gets done, eliminating manual effort and creating streamlined, delightful experiences for team members. If you think like a software engineer, love solving puzzles and want to grow your career at the intersection of people systems, AI and automation in an all-remote, async-first environment, this is your role.

What You’ll Do  

  • Build, test and maintain People system automations and integrations across Workato, Google Cloud Platform, Claude, Workday, Greenhouse and GitLab, owning your features from design through deployment.
  • Develop integrations between Workday, Greenhouse, Slack and internal tools using Workday Web Services (WWS) and Slack’s API and Bot SDK, and build Slack apps and bots that turn manual steps into simple, automated workflows for team members around the world.
  • Write clean, readable automation code in Ruby or a comparable scripting language, stored and versioned in GitLab, with clear documentation and peer code reviews.
  • Keep pace with a high-growth company by monitoring integration health, troubleshooting failures quickly and fixing root causes so our automations stay reliable at scale.
  • Ship changes safely through GitLab CI/CD pipelines, following testing, change-management and Sarbanes-Oxley (SOX) IT general controls (ITGC) standards with care.
  • Lead with AI: use AI tools, large language models (LLMs) and Model Context Protocol (MCP) frameworks, including Claude, every day to accelerate development, prototype AI agents and reimagine how People work gets done, then share what you learn so the whole team moves faster.
  • Look past the surface of a request to find the real problem, then recommend and build solutions that are durable, scalable and easy to support. Partner with People Technology Analysts on configuration, testing and releases, and with Information Security, IT and AI Engineering on security and standards.
  • Raise the bar for how automations are architected, documented and maintained, learning from and contributing alongside our Lead People Systems Engineer.

What You’ll Bring 

  • Hands-on experience building automations or integrations, ideally with human resources or business systems.
  • Experience writing and maintaining code in Ruby or a comparable scripting language, such as Python or JavaScript, and a willingness to learn Ruby if you haven’t already.
  • Hands-on experience with Workato or a comparable integration platform as a service (iPaaS) in a production environment.
  • Experience working with APIs and web services, including REST and SOAP, and an understanding of how data moves between systems.
  • Proficiency with Git for version control and code review; you treat automation code like production software.
  • A forward-thinking, AI-forward mindset: you use AI tools every day to automate tasks, speed up development and improve processes, and you’re energized by what AI makes possible next.
  • The ability to work independently, solve problems with curiosity, come with options and a recommendation, and collaborate openly. You protect highly confidential information and take ownership of code quality, reliable outcomes and the end user’s experience.
  • Additional relevant experience includes Workday integrations (WWS, Reporting as a Service or Workday Studio), Slack apps or bots, CI/CD pipelines, Google Cloud Platform or Amazon Web Services, Docker or Kubernetes, building with LLMs, AI agents or MCP frameworks, SOX ITGC controls, Greenhouse, Serval, Google Workspace, or all-remote and asynchronous work. A related computing degree or equivalent experience is also welcome; none of these is required.

About the team

The People Technology team is building the systems foundation that lets GitLab scale as a global, all-remote company. We’re always raising the bar for what People technology can do, improving reliability, usability and intelligence across the platforms that power our People organization. We work across core systems, integrations, reporting and compliance, and partner closely with stakeholders across time zones to move fast, build with purpose and create seamless experiences that empower people to do their best work. If you want to grow your career building something that matters at a company working at the edge of what’s possible, this is the team.

How GitLab will support you

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.

How GitLab Supports Full-Time Employees

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.

How we rate this

People Systems Engineer at GitLab rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsSystem IntegrationAutomationWorkflow DesignSoftware EngineeringClaudeWorkdayGreenhouse

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where system integration was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. Tell me about a project where workflow design was part of your work. What did you do?
  5. Tell me about a project where software engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, System Integration, Automation, Workflow Design, and Software Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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