Engineering Manager

Overview

• 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.

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.

Engineering Manager, Production Engineering - Observability

An overview of this role

You'll lead the globally distributed Observability team. The team builds and operates the metrics, logging, alerting, and capacity planning platforms that GitLab engineers use to understand GitLab.com and GitLab Dedicated. You'll help determine how the team collects, stores, queries, and acts on telemetry, balancing reliable signals with scale and cost.

In your first year, you'll guide improvements to Prometheus-based metrics pipelines, log ingestion and retention, alerting driven by service-level objectives (SLOs), and capacity forecasting. You'll work with Site Reliability Engineering, Product Engineering, and other Infrastructure Platforms teams to make it easier for engineers to observe the services they own. You'll also take part in incident response and help keep the team's on-call work sustainable.

What you’ll do

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.

We welcome different paths into this role, whether through practical experience, formal study, or transferable skills. If the work interests you, please apply even if you don't meet every qualification.