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Senior Backend Engineer, AI – Pipeline Execution
Location
Canada
Posted
44 days ago
Salary
0
Seniority
Senior
Job Description
Senior Backend Engineer, AI – Pipeline Execution
GitLab
• 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.
Job 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.
- Nice to have: 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.
Benefits
- 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
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