About the role
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.
*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.
Senior Backend Engineer
As a Senior Backend Engineer on our Cloud Cost and Capacity capability, you'll build the internal software that helps us understand, attribute, and plan the cloud infrastructure that runs GitLab.com. You'll turn Google Cloud billing and usage data into pipelines, attribution models, and applications that help service owners understand what they consume and spend, plan reservations, and prevent capacity shortages.
You'll be the first engineer dedicated to this capability, setting the technical direction and building the foundations a growing team will extend. You'll treat cloud cost and capacity as one roadmap, choosing the architecture, data models, and tools that let service owners manage their usage and spending.
What you'll do
- Build data pipelines that turn Google Cloud billing exports and Cloud Monitoring telemetry into a clean, queryable picture of fleet usage and utilization in BigQuery.
- Attribute shared cost and usage across Google Kubernetes Engine clusters to the teams and services that drive them, using foundations such as OpenCost and Google Kubernetes Engine cost allocation.
- Develop capacity and demand tooling that profiles infrastructure needs by machine family and region to support reservation planning and prevent capacity shortages.