Senior Backend Engineer, Cloud Cost & Capacity

Senior Backend Engineer, Cloud Cost & Capacity at GitLab Bangalore, working on cloud cost efficiency and capacity management for GitLab's infrastructure.

• 1Build data pipelines that turn Google Cloud billing exports and Cloud Monitoring telemetry into a clean, queryable picture of fleet usage and utilization in BigQuery
• 2Attribute 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
• 3Develop capacity and demand tooling that profiles infrastructure needs by machine family and region to support reservation planning and prevent capacity shortages
• 4Ship internal applications that let engineers and budget owners see and act on their cloud footprint, replacing manual snapshots and spreadsheets with software
• 5Establish the data models, services, and engineering standards that future team members will extend, and help shape technical direction and hiring as we grow
• 6Partner with Finance, product teams, service owners, and infrastructure engineers to turn their needs into technical designs

• A track record of designing and shipping production backend services that you've owned end to end, beyond operating existing systems
• Strong structured query language (SQL) skills with large datasets, experience building and maintaining data pipelines and models, and comfort working with cloud billing and usage data
• Working knowledge of a major cloud platform, preferably Google Cloud, including compute services, Kubernetes, and pricing and billing models
• Proficiency in a general-purpose programming language for tooling and pipelines. We value your ability to build and ship over mastery of a single language; Go and Python suit this work, and we use Ruby across our product code
• The ability to break a new problem into milestones and drive it to production with light direction, communicating clearly in a remote, asynchronous environment
• Helpful, not required: OpenCost, Kubecost, or Google Kubernetes Engine cost allocation; cloud financial management (FinOps) practices or certification; cost or capacity modeling, forecasting, or anomaly detection; Terraform; Looker, Looker Studio, or Grafana; founding engineering work; or artificial intelligence in engineering workflows