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Senior Backend Engineer, Cloud Cost & Capacity

BackendRemote — Bangalore, India
Published on 2026-11-04
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Build internal software and data systems that help GitLab understand, attribute, and plan the cloud infrastructure powering GitLab.com. As the first engineer dedicated to this capability, you’ll establish its technical foundations and help guide its growth.

About the company

GitLab is a DevSecOps platform that brings source control, CI/CD, security, and project management into a single application. It helps engineering teams plan, build, secure, and ship software faster.

The team

Cloud Cost Utilization team within Infrastructure Platforms, working with Fleet Management.

Stack

Google CloudBigQueryGoogle Kubernetes EngineCloud MonitoringOpenCostGoPythonRuby

What you'll do

  • Build BigQuery pipelines from Google Cloud billing exports and monitoring telemetry.
  • Attribute shared Kubernetes costs and usage to teams and services.
  • Develop capacity and demand tooling for reservation planning and shortage prevention.
  • Ship internal applications that help engineers and budget owners manage cloud usage and spending.
  • Establish data models, services, engineering standards, and technical direction.
  • Partner with Finance, product teams, service owners, and infrastructure engineers.

What we're looking for

  • Experience designing and shipping production backend services end to end.
  • Strong SQL skills and experience with large datasets, data pipelines, and data models.
  • Working knowledge of a major cloud platform, including compute, Kubernetes, and billing models.
  • Proficiency in a general-purpose programming language for tooling and pipelines.
  • Ability to drive work from problem definition to production with light direction.
  • Clear written communication in a remote, asynchronous environment.

Nice to have

  • OpenCost, Kubecost, or Google Kubernetes Engine cost allocation experience.
  • FinOps practices or certification.
  • Cost or capacity modeling, forecasting, or anomaly detection.
  • Terraform, Looker, Looker Studio, or Grafana experience.
  • Founding engineering experience or use of AI in engineering workflows.

Benefits

  • Flexible paid time off
  • Equity compensation and employee stock purchase plan
  • Growth and development fund
  • Parental leave
  • Team member resource groups
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