Engineering Manager, Dedicated Infrastructure

Remote · United States of America · USD 152,800-259,200 · Remote · Posted Sep 26, 2026

At a glance

You'll lead GitLab's Dedicated Infrastructure team, combining hands-on technical leadership with team development.
Working with the team's Product Manager, you'll balance delivery speed and quality, guide architecture decisions, and lead the team through incidents.
You'll demonstrate ideas through proofs of concept, give team members meaningful feedback, and use data to make prioritization and risk decisions.

Partner with the team's Product Manager to set clear priorities and deliver with quality and speed.
Maintain at least 99.9% availability for Dedicated infrastructure, strengthen security, and automate operations to support more tenants at scale.
Give your team clear direction and meaningful feedback, and build shared ownership of development and operations.
Improve the platforms and tools your team owns so feature implementers can manage their services in production through self-service workflows.
Recruit, onboard, and develop productive team members, supporting their growth and accountability.
Lead by example with proofs of concept and artificial intelligence (AI)-assisted approaches. Simplify processes and automate repetitive manual work.
Model effective incident management, lead timely resolution and escalation, and document and teach best practices across GitLab.
Use data to prioritize work, quantify impact, and manage risk and technical debt. Explain technical trade-offs to stakeholders to support their decisions.

A track record of building and owning large-scale distributed services, with the technical depth to evaluate architecture and guide technical strategy.
Experience with fleet management, Terraform, Amazon Web Services (AWS), and automated provisioning at a scale of 20 or more clusters.
Experience owning services with 99.99% availability service-level objectives (SLOs), and an understanding of the operational practices needed to sustain them.
Experience using AI tools to improve team productivity, with lessons learned from both successes and missteps.
Experience building and managing accountable, high-performing teams, including addressing underperformance and making difficult performance decisions when needed.
The ability to lead complex projects to completion without relying on a dedicated Technical Program Manager.
Experience leading distributed, remote teams effectively.

All of our roles are remote, however some roles may carry specific location-based eligibility requirements.