Senior Backend Engineer, AI Engineering: AI Coding

Git Lab is the intelligent orchestration platform for Dev Sec Ops . Git Lab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100
* trust Git Lab to ship better, more secure software faster.

Git Lab is an open core software company that develops the most comprehensive AI‑powered Dev Sec Ops  Platform, and more than 100,000 organizations use it. Our mission is to enable everyone to contribute to and co‑create the software that powers our world. We make this possible by running our operations on our product and staying aligned with our values.

The AI Events team builds the event platform and trigger system that power Git Lab Duo Flows, enabling them to run automatically in response to events across the development lifecycle. The platform handles internal Git Lab events like code pushes, issue and merge request changes, continuous integration and continuous delivery (CI/CD) pipeline results, and deployments, as well as custom events from third‑party tools like Jira, Jenkins, and Slack.

Flow Triggers link projects to flows, firing automatically when matching events occur, so that AI‑powered workflows like automated code review can run without anyone lifting a finger.

As a Senior Software Engineer, you'll join a small, close‑knit team that maintains infrastructure that many of Git Lab's AI features rely on. You'll likely spend much of your time on the triggers side of the platform, linking events across Git Lab and third‑party tools to the AI workflows that act on them. This part of the system needs to handle significant scale and stay highly available, since it's core to automated AI‑enabled work across the platform.

• Design and build the trigger system that links Git Lab events, including code pushes, merge request and issue changes, CI/CD results, and deployments, and third‑party events from tools like Jira, Jenkins, and Slack to the AI‑powered Duo Flows that act on them.
• Contribute to the broader event platform, the core infrastructure that many of Git Lab's AI features rely on to know when and how to run.
• Architect for high availability and throughput, since this part of the system sits at the center of automated AI workflows across Git Lab and needs to reliably process events at scale.
• Work within Git Lab's Rails monolith, where much of the event and trigger system lives, while staying open to other languages used elsewhere in the platform.
• Influence product and architecture direction by proposing iterative solutions to complex technical problems across a multi‑service environment.
• Collaborate closely with your teammates, product manager, and designer to shape what the trigger system supports next, likely starting with an additional trigger type.
• Partner cross‑departmentally with other Duo Agent Platform teams to make sure triggers and events integrate cleanly with the broader agent ecosystem Git Lab is building.
• Participate in Tier 2 and Tier 3 on‑call rotations to troubleshoot production, security, and urgent engineering issues in a globally distributed environment.

• Deep experience with Ruby and Rails, comfortable working within a large, established monolith and shipping production code effectively.
• Proven track record building products that interact with large language models, not training or building machine learning models yourself, but with hands‑on experience integrating large language models into real, user‑facing tools.
• Proven track record designing and operating systems built for large scale, with a focus on high availability and throughput in production environments.
• Hands‑on experience with agentic systems and development, including building workflows that let AI agents take autonomous action.
• Demonstrated ability to make progress in evolving problem spaces and learn new AI capabilities quickly as the underlying technology shifts fast and this team ships while it learns.
• Strong written communication skills for working asynchronously in a remote, globally…