GitLab is the intelligent orchestration platform for DevSecOps. GitLab 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 GitLab 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. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and 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 GitLab 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 GitLab.

An overview of this role

We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams.

What you’ll do

• Enable effective execution  with Quality and Speed, in partnership with the team’s Product Manager
• Ensure 3+ 9s availability of Dedicated infrastructure, ensuring security and automating for maximum scalability and number of tenants.
• Provide clear direction, meaningful feedback and foster an environment where meaningless toil gets ruthlessly automated and Devops ownership is enforced.
• Continuously improved owned artifacts in a direction of optimizing platforms for self-service ownership of production for feature implementers.
• Recruitment, onboarding and development of excellent and productive team members.
• Be a role model for the team: provide Proof of concepts, agentic mindset and extreme simplification of processes and removal of human toil. Show and Tell, not only Tell.
• Role model Incident Management best-practices, lead in fast resolutions, escalations and train and codify best practices to the whole of GitLab
• Data driven approach to prioritization, impact quantification and management of risk and technical debt.Able to use AI to demonstrate concepts and translate technical complexity to drive stakeholder decisions.

What you’ll bring

• Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy
• Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there
• Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps
• A history of building and managing high-performing, accountable team cultures, including managing out when necessary
• Comfort driving complex projects to completion without relying on a dedicated TPM
• Experience leading distributed and remote teams effectively

About the team
The Enterprise Platform team focuses on delivering the infrastructure and operational capabilities that let large, security-conscious customers run GitLab on their own terms. Within that group, the Dedicated team builds and operates GitLab Dedicated, our single-tenant SaaS offering that gives customers full data and source code isolation, private networking, and data residency in the AWS region of their choice — all deployed and maintained by GitLab with zero infrastructure overhead for the customer. We work asynchronously across regions and partner closely with Cell Infrastructure, Security, Compliance, and the Duo Agent Platform teams to extend agentic AI capabilities and multi-cloud support into single-tenant environments without compromising isolation guarantees.