
1001 - 5000 employees
Founded 2014
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
💰 Secondary Market on 2020-11
Consulting • Marketing • Artificial Intelligence
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.
🕒 July 22
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1001 - 5000 employees
Founded 2014
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
💰 Secondary Market on 2020-11
Consulting • Marketing • Artificial Intelligence
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.
• Design and build flow components and agentic flows in the Flow Registry using Python and LangGraph. • Develop, ship, and maintain backend features for GitLab Duo Chat across the Python Duo Workflow Service and the GitLab Rails monolith. • Integrate new generative AI models, providers, tools, and multi-agent orchestration patterns into Duo Chat. • Design, implement, and review GraphQL and REST application programming interfaces (APIs) and related monolith logic. • Improve debugging, observability, and test coverage using pytest, RSpec, and related frameworks. • Collaborate with Product, User Experience (UX), frontend, and AI specialists to refine requirements. • Document standards, patterns, and learnings with other engineers. • Participate in Tier 2 on-call rotations to troubleshoot production issues.
• Significant experience building and maintaining production Python backends, including APIs, data models, and asynchronous or long-running workloads. • Practical experience designing and shipping AI-powered, agentic backend features, including large language model integration, tool or function calling, and multi-agent orchestration. • Working proficiency in Ruby on Rails, or a strong willingness to learn it. • Proficiency designing or extending REST or GraphQL APIs with attention to scalability, maintainability, and backward compatibility. • Strong Structured Query Language (SQL) skills and familiarity with relational databases such as PostgreSQL. • Ability to find, diagnose, and prevent performance and reliability problems at scale. • Experience solving technical problems of high scope and complexity and advocating for quality, security, and performance improvements across your team. • Openness to learning and collaborating in an async-first, distributed team.
• 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
Apply Now🕒 July 21
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🇬🇧 United Kingdom – Remote
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🔙 Backend Engineer
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