Senior Backend Engineer, Cloud Cost & Capacity

Senior Backend Engineer on GitLab’s Cloud Cost and Capacity team builds internal software that turns Google Cloud billing and usage data into pipelines, attribution models, and applications to help service owners understand consumption, plan reservations, and prevent capacity shortages. The role involves creating data pipelines that ingest billing exports and Cloud Monitoring telemetry into BigQuery, attributing shared cost across GKE clusters, developing capacity and demand tooling, and shipping internal applications that replace manual spreadsheets. The engineer sets technical direction, establishes data models and standards, partners with Finance and product teams, and may participate in on‑call support.

The position requires ownership of end‑to‑end backend services, strong SQL skills for large datasets, experience with cloud billing data, and proficiency in a general‑purpose language such as Go or Python. Familiarity with Google Cloud, Kubernetes, and cost allocation tools is preferred, and knowledge of FinOps, Terraform, Looker, Grafana, or AI in engineering workflows is helpful.

The role is remote but based in Bangalore, India, and is a full‑time position within GitLab’s Infrastructure Platforms.

• Design and ship production backend services end to end
• Strong SQL skills with large datasets
• Experience building and maintaining data pipelines and models
• Working knowledge of Google Cloud, Kubernetes, and billing models
• Proficiency in Go or Python (Ruby used in product code)
• Ability to break problems into milestones and drive to production
• Helpful: OpenCost, Kubecost, GKE cost allocation
• Helpful: FinOps practices or certification
• Helpful: cost or capacity modeling, forecasting, anomaly detection
• Helpful: Terraform
• Helpful: Looker, Looker Studio, or Grafana
• Helpful: founding engineering work
• Helpful: AI in engineering workflows