Senior Backend Engineer, Cloud Cost & Capacity
GitLab Inc. (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and build data pipelines and models converting Google Cloud billing and usage data into actionable cost attribution and capacity planning tools hosted in BigQuery.
- Develop internal applications and tools for engineering and budget teams to monitor, manage, and plan cloud infrastructure costs and capacity, replacing manual tracking processes.
- Set the technical roadmap, data models, and engineering standards for cloud cost and capacity management foundation as the initial dedicated engineer in this capability.
Minimum Requirements
- Experience owning and shipping backend production services end to end.
- Strong SQL skills working with large datasets and building data pipelines, preferably with cloud billing and usage data.
- Working knowledge of Google Cloud Platform, especially compute services, Kubernetes, and billing/pricing models.
- Proficiency in general-purpose programming languages such as Go, Python, or Ruby for tooling and pipelines.
Ideal Candidate Profile
- Engineer comfortable breaking new, complex cloud financial and capacity challenges into milestones and driving solutions in a remote, asynchronous work environment.
- Background in cloud financial management, cost attribution, or capacity modeling, especially using Kubernetes-related tools and cloud billing data.
- Strategic thinker able to establish foundational data models and technical architecture for a growing team focused on cloud cost and utilization.