Staff Backend Engineer (Ruby on Rails/AI), Verify at GitLab (Canada, Ireland, Netherlands, United Kingdom, United States)

GitLab

4 months ago

Staff Backend Engineer (Ruby on Rails/AI), Verify

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Staff Backend Engineer (AI) at GitLab helps shape and scale the CI infrastructure, focusing on AI-assisted and agentic CI experiences. You’ll design, implement, and instrument AI-powered backend features, collaborate across Product, UX, and Infra, and drive measurable performance improvements in high-volume CI systems while writing secure, maintainable Ruby on Rails code in a large monolith.

Location: Canada, Ireland, Netherlands, United Kingdom, United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume.
•Design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that integrates with GitLab's Duo Agent Platform.
•Define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that help the team learn and iterate.
•Build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards.
•Own and drive measurable performance improvements across CI systems (for example, database access patterns, background processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data.

Key Requirements

•Advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase.
•Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation.
•Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains.
•Practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production.
•A data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria.

Experience:Ci/cdAiDevopsSoftware engineering

Skills:CommunicationCollaborationProblem-solvingWriting

Languages:English

Tech Stack:RubyRuby on RailsPostgreSQLLLMAIObservabilityMetricsLoggingTracing

Company Brief

GitLab

Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn

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GitLab

4 months ago

Staff Backend Engineer (Ruby on Rails/AI), Verify

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Canada, Ireland, Netherlands, United Kingdom, United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume.
•Design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that integrates with GitLab's Duo Agent Platform.
•Define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that help the team learn and iterate.
•Build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards.
•Own and drive measurable performance improvements across CI systems (for example, database access patterns, background processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data.

Key Requirements

•Advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase.
•Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation.
•Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains.
•Practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production.
•A data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria.

Experience:Ci/cdAiDevopsSoftware engineering

Skills:CommunicationCollaborationProblem-solvingWriting

Languages:English

Tech Stack:RubyRuby on RailsPostgreSQLLLMAIObservabilityMetricsLoggingTracing

Company Brief

GitLab

Provides a single application for the complete DevSecOps lifecycle, offering source code management, CI/CD, security, and collaboration tools to help teams deliver software faster and more securely.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2011

Website LinkedIn