Engineering Manager

GitLab is hiring an Engineering Manager in Bangalore.

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, in

Responsibilities

• Lead, hire, onboard, and develop a distributed engineering team working asynchronously.

• Set priorities with Site Reliability Engineering, Product Engineering, and GitLab Dedicated teams, and help the team deliver observability services iteratively.

• Own the reliability, scalability, and cost of the team's metrics, logging, alerting, and capacity planning platforms.

• Reduce noisy or missing alerts and telemetry gaps, and use SLOs, error budgets, and self-service instrumentation to help engineers maintain the health of their services.

• Guide technical decisions about time-series storage, high-cardinality metrics, log pipelines, and distributed tracing.

• Participate in the Incident Manager On Call (IMOC) rotation, coordinating the response to high-severity incidents affecting GitLab.com.

• Keep the team's on-call rotation sustainable through coverage across time zones, useful runbooks, better alerts, and follow-through on post-incident actions.

• Use AI tools and agents to support engineering workflows and incident triage, reviewing their output while engineers retain responsibility for decisions.

What you’ll bring

• Experience leading an observability, platform engineering, or site reliability engineering team operating at scale, including supporting people in a distributed, asynchronous environment.

• Technical knowledge of metrics systems such as Prometheus and long-term storage, logging platforms such as Elasticsearch or cloud-native services, and alerting design.

• Experience using SLOs, error budgets, and capacity forecasts to make reliability and investment decisions.

• Experience operating a large software-as-a-service platform and investigating production issues such as telemetry gaps, ingestion limits, or noisy and missing alerts.

• Experience participating in and improving production on-call rotations, including incident coordination and balancing operational load with project work.

• The ability to explain technical tradeoffs to engineering partners and other stakeholders.

• Experience using AI tools or agents in engineering or management work; you can describe how you would apply them to operational problems such as incident triage.

About GitLab

We're part of Production Engineering within Infrastructure Platforms and work asynchronously across regions. Our tools include Tamland, the capacity forecasting tool. We bring lessons from operating GitLab's production systems back into the platforms we build. How GitLab Supports Full-Time Employees