Senior Backend Engineer (AI), Pipeline Execution

GitLab is the intelligent orchestration platform for DevSecOps, and they are seeking a Senior Backend Engineer (AI) to help shape and scale the core infrastructure behind GitLab CI. In this role, you'll design, build, and iterate on AI-assisted CI experiences, collaborating with cross-functional teams to improve performance and reliability for users running CI jobs.

Responsibilities:

• Collaborate with Engineering, Product, and UX partners to refine priorities: where we can move faster, where we’re missing data, and where there’s whitespace to innovate
• Contribute to defining what success looks like across our AI agents, ensuring we’re not just shipping, but learning from how features perform in production
• Keep a close eye on the competitive landscape and emerging AI-native DevOps tools, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world
• Design, build, and operate backend features that make GitLab CI fast, reliable, and easy to use at scale
• Implement AI-powered and agentic CI capabilities that integrate with GitLab’s Duo Agent Platform
• Instrument, monitor, and improve CI systems using data, observability, and safe rollout practices
• Write secure, well-tested Ruby on Rails code in our monolith, improving existing features while reducing technical debt
• Collaborate cross-functionally with Product, UX, and Infrastructure, mentoring others and raising engineering standards across the Verify stage

Requirements:

• Strong Ruby on Rails backend experience in a large, production codebase
• In-depth experience building and operating AI-powered backend features in production
• A data- and observability-driven approach to diagnosing issues, improving reliability, and validating impact
• Clear written and verbal communication, with a collaborative, mentoring mindset in a remote, async environment
• Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains
• Experience with AI agents or agentic frameworks (for example, LangChain or similar technologies) and building agentic workflows in production environments
• Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation