Staff Backend Engineer, Ruby – AI Engineering

🔥 4 minutes ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

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GitLab

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Set and drive the technical direction for the DAP Repository Flows team, making architecture decisions that shape onboarding and repository/background flows. • Lead the design and delivery of autonomous and scheduled agents that operate on customer codebases, building on top of the Duo Agent Platform. • Design and refine the DAP onboarding experience so customers can get a project configured and productive quickly. • Partner across teams in the broader DAP organization to align on interfaces, shared patterns, and platform capabilities. • Mentor senior and intermediate engineers, review designs and code, and elevate the team's overall technical quality. • Identify and resolve the hardest technical problems the team faces, and prevent them where possible through sound design. • Contribute to a culture of autonomy, ownership, high context sharing, and async-first collaboration.

🎯 Requirements

• Deep, hands-on experience with Ruby and Ruby on Rails in production systems. • Demonstrated experience integrating LLMs into products, not ML model training. • Experience building agentic systems with autonomous or semi-autonomous agents acting on users’ behalf. • Track record of designing and shipping complex, high-scale systems. • Experience driving technical direction across teams. • Strong written communication skills and ability to operate in a distributed, async-first environment. • Staff-level engineering judgment and influence, including setting direction, unblocking others, and multiplying team impact.

🏖️ 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