Engineering Manager, AI-Driven Distributed Systems

GitLab; United States; Remote; USD 180,000 - 280,000; Full time

Benefits offered by this job

Flexible Paid Time Off

Health benefits

Job summary

GitLab is seeking 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.

You will drive quality and speed, own 99.99% availability of dedicated infrastructure, automate toil, and scale production ownership for feature implementers while mentoring distributed and remote engineers.

Qualifications

• Proven track record leading large-scale distributed services.
• Experience delivering high-availability systems (SLOs).
• Experience using AI tooling to boost team productivity.

Responsibilities

• Lead execution with Product Manager to balance quality and speed.
• Own 99.99% availability and automate toil at scale.
• Provide clear direction and constructive feedback to the team.
• Drive self-service production ownership for feature implementers.
• Recruit and onboard top engineering talent.
• Model concise, practical processes and minimal toil.
• Lead incident management and fast resolutions with best practices.
• Use data-driven prioritization to manage risk and debt.

Skills

Distributed systems leadership

Operational excellence

AI tooling for productivity

Team building and accountability

Remote team leadership

Architectural guidance

Project leadership without TPM

Tools

AWS

Distributed systems tooling

Job description

GitLab is seeking 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.

You will drive quality and speed, own 99.99% availability of dedicated infrastructure, automate toil, and scale production ownership for feature implementers while mentoring distributed and remote engineers.