Staff Engineer, People Technology

G
GitLabTechnology/DevSecOps
Remote, Canada; Remote, United StatesFull-TimeStaff
Salary$126,400 — $213,600 USD
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Job Details

Required Skills
DockerGCPKubernetesRubyCI/CDWorkdayGitLab

Requirements

  • Hands-on experience writing and maintaining code in Ruby or a comparable scripting language (Python, PHP, etc.).
  • 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.
  • Experience connecting HR systems including Workday and Greenhouse.
  • Comfort working with AI tools and MCP frameworks.
  • Strong communication skills with the ability to translate technical architecture into clear decisions.
  • Engineering mindset applied to people systems, prioritizing reliability, observability, and maintainability.

Responsibilities

  • 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.
  • Serve as subject matter expert on Workato automation architecture, driving standardization, reusability, and scalability.
  • 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 development.
  • Provide technical guidance to teammates and stakeholders, partnering closely with InfoSec, AI Engineering, and IT.
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$126,400 — $213,600 USD
Apply Now