Engineering Manager, Infrastructure Platforms

GitLab GitLab · Enterprise · India · Platforms Engineering

This role is for an Engineering Manager at GitLab, leading the Tenant Services, Geo team. The team supports GitLab Dedicated customer migrations and Geo-related escalations. The role focuses on people management, guiding and growing a team of Site Reliability Engineers, and ensuring successful delivery of migration and operational commitments. While the company embraces AI for productivity, this specific role is not directly building or researching AI models, but rather managing a team that ensures the reliability and operational success of a SaaS platform, which may leverage AI tools internally.

What you'd actually do

  1. Hire and manage a[high-performing team](https://handbook.gitlab.com/handbook/people-group/learning-and-development/manager-development/high-performing-teams/) of Site Reliability Engineers in India that lives our values.
  2. Coordinate and continuously refine the team’s **shift and weekend coverage model** for Dedicated migrations.
  3. Own operational execution of **Dedicated Geo migrations and cutovers**, including planning, pre-cutover preparation, live execution, and post-cutover validation and cleanup.
  4. Ensure the team provides high-quality, timely responses to **Geo-related escalations** from Support and internal partners.
  5. Collaborate with core Geo, Dedicated migrations, and other Infrastructure teams to identify and prioritize **engineering investments** that improve migration tooling and processes.

Skills

Required

  • 3+ years of experience **managing SRE, infrastructure, or platform engineering teams** operating highly-available distributed systems at scale, ideally in a SaaS environment with customer-facing SLAs.
  • Demonstrated ability to lead in a **remote, high-performance environment**, collaborating across multiple time zones and cultures.
  • Experience running or significantly contributing to **large-scal

What the JD emphasized

  • customer data and reputational risk
  • high-risk cutovers
  • significant customer data and reputational risk