Senior Backend Engineer, Cloud Cost & Capacity

About the role

You'll work with us asynchronously, using clear written communication to turn our partners' needs into technical designs. Benefits to support your health, finances, and well-being Equity Compensation & Employee Stock Purchase Plan Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement.

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
• Develop capacity and demand tooling that profiles infrastructure needs by machine family and region to support reservation planning and prevent capacity shortages
• Ship internal applications that let engineers and budget owners see and act on their cloud footprint, replacing manual snapshots and spreadsheets with software
• Establish the data models, services, and engineering standards that future team members will extend, and help shape technical direction and hiring as we grow

What you need

• SQL
• Kubernetes
• Git
• GCP
• ETL
• BigQuery
• Any graduate

Good to have

• Looker Studio
• Terraform
• Looker
• Grafana