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Staff Engineer, People Technology
GitLabStaff Engineer in GitLab's People Technology team driving AI-first transformation across people systems. Own design and maintenance of automations and integrations with various tools.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in automation and integration of people systems, particularly with Workday, Slack, and Workato. Proficient in coding with Ruby and managing CI/CD pipelines to enhance operational efficiency.
Highest-signal resume keywords
Ruby ProgrammingWorkato AutomationWorkday Web Services IntegrationSlack API DevelopmentCI/CD Pipeline Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
RubyWorkatoWorkday Web ServicesSlack APIGitGitLabGoogle Cloud PlatformDockerKubernetesAutomation Development
Soft Skills
Strong CommunicationIntellectual CuriosityBias for Action
Tools & Technologies
WorkdayGreenhouseSlackClaudeGitLabAI ToolsLarge Language ModelsModel Context Protocol
Industry Keywords
People SystemsAutomation ArchitectureIntegration PlatformHR Systems
Tech Stack
Tools & technologiesAWSCloudDockerGoogle Cloud PlatformKubernetesRuby
About the role
Key responsibilities & impact- Own the design, development, and maintenance of people system automations and integrations across Workato, Google Cloud Platform, Claude, Workday, Greenhouse and GitLab
- Build and maintain integrations between Workday, Greenhouse, Slack, and internal tools using Workday Web Services (WWS) and Slack's API and Bot SDK
- Write, version, and maintain automation code in Ruby (or comparable scripting languages) stored in GitLab
- Develop and manage Slack apps and bots that deliver intuitive, automated workflows
- Move past surface-level requests to diagnose root problems and co-design automation solutions
- Serve as subject matter expert on Workato automation architecture
- Maintain and improve CI/CD pipelines and deployment practices for People system automation
- Leverage AI tools, large language models (LLMs), and Model Context Protocol (MCP) frameworks to accelerate automation development
- Provide technical guidance to teammates and stakeholders
Requirements
What you’ll need- Hands-on experience writing and maintaining code in Ruby or a comparable scripting language
- Deep expertise in Workato or a comparable enterprise automation/integration platform
- Strong experience integrating with Workday using Workday Web Services (WWS)
- Experience building Slack apps and automations using Slack's API and Bot SDK
- Proficiency with Git and GitLab for version control, code review, and CI/CD workflows
- Familiarity with Google Cloud Platform (GCP) or AWS; experience with Docker and Kubernetes (GKE is a bonus)
- Experience connecting HR systems including Workday, Greenhouse, and internal tools
- Comfort working with AI tools and MCP frameworks
- Strong communication skills
- An engineering mindset applied to people systems
- People system fluency
- Intellectual curiosity and a bias for action
Benefits
Comp & perks- 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