Distinguished Engineer, Agentic SDLC & Non‐Linear Productivity Remote, Canada; Remote, Poland; Remote, United

Remote, Canada;
Remote, Poland;
Remote, United Kingdom;
Remote, United States

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.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. Git Lab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our valuesand continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.

Co-create the future with us as we build technology that transforms how the world develops software.

* Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on Git Lab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of Git Lab.

We are looking for a Principal Engineer to help build Git Lab Duo Agent Platform, the agentic orchestration layer that runs AI agents and flows across the entire software lifecycle.

Principal Engineers at Git Lab are recognized experts across multiple technology domains and represent the senior technical leadership within their organization. In this role you will set technical direction for a significant part of the Agent Platform, working across several teams to turn agentic capabilities into something engineering organizations can actually depend on: predictable, observable, governable, and fast enough to sit in the critical path of real development work.

The Agent Platform is not a single service. It spans agent execution and orchestration, flow definition and event-driven triggering, the AI Catalog through which customers discover and manage agents, model routing and evaluation, and the governance surface that decides which agents may act where and under whose identity. It runs on , Git Lab Dedicated, and Self-Managed installations, including deployments that use self-hosted models to meet compliance requirements.

You will work on the parts of that system where the hard architectural questions live, and you will do it hands-on.

This role reports into the VP of the AI Engineering organization and works closely with Engineering Managers, Staff Engineers, Product Management, Infrastructure and Security.

• Define the technical direction for a significant area of Duo Agent Platform across several teams, and partner with Engineering Managers and Product to turn it into a roadmap with a six-month horizon.
• Build the orchestration layer that makes agents and flows reliable: session lifecycle, tool invocation, context assembly, concurrency, retries, timeouts, and failure modes that degrade gracefully instead of stalling a developer's workflow.
• Hands on work on driving topics throughout the whole organisation from POC level, architecture to full implementation.
• Participate in Incident Management on-call rotation, to help meet availability goals for
• Strong product builder and ownership mentality. Understanding of product strategy, technical strategy, delivering customer value and iteration towards a successful product
• Write clear, opinionated design documents, architecture narratives, and decision records that let other teams make aligned decisions. Ensure the architecture holds across multi-tenant , Dedicated, and Self-Managed deployments, including self-hosted model configurations, and respects data governance boundaries in each.
• Use the platform on our own work, find where it falls short of what we claim, and feed that back through improvements into the product.
• Mentor Staff and Senior Engineers, and raise the bar for experimentation rigor and cross-team collaboration.
• Work across the whole platform on different projects, features and teams. This reaches across:
• Design the extensibility surface so customers can build custom agents and flows, connect their own tools and internal systems, and…