Backend Engineer, Ruby – AI Engineering, Agent Observability

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GitLab

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• Develop, ship, and maintain features and improvements for Agent Observability and Interactions across both the GitLab monolith backend and the AI gateway in a secure, well-tested, and performant way. • Collaborate with Product Management, UX, frontend, backend, and AI specialists to refine requirements and deliver high-quality, iterative product enhancements. • Design, implement, and review GraphQL, REST APIs and related backend logic, ensuring reliability, scalability, and clear contracts with frontend clients. • Improve and extend automated testing, including RSpec and other frameworks, to strengthen quality, reliability, and developer feedback loops. • Share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across the team. • Participate in Tier 2 on-call rotations to troubleshoot production issues, contribute to root cause analysis, and enhance observability and resiliency

🎯 Requirements

• Experience building and maintaining production applications with Ruby on Rails, including work with background jobs, APIs, and data models. • Comfortable working across the stack in a mature codebase. Familiarity with Python backends and/or Vue frontends a plus. • Proficiency in designing or extending REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility. • Strong practical experience working with AI tooling on a daily basis. Experience designing and shipping AI-powered backend features and integrations is a plus. • SQL skills and familiarity with relational databases such as PostgreSQL, including writing efficient queries and understanding data modeling. • Openness to learning, collaborating in an async-first, distributed team, and applying transferable skills from related technologies or domains. • Clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment.

🏖️ 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

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