Drive visibility, efficiency, and savings across multi-cloud infrastructure
Design and implement strategies to reduce operational costs across GCP, AWS, Firebase, and managed services
Build and maintain cost dashboards to track spend across cloud providers
Define and maintain Cost per Operation (CPO) metrics; collaborate with product owners
Set up policies, guardrails, budgets, and alerts to prevent cost overruns
Develop automation scripts to detect idle resources, right-size workloads
Break down cloud bills by team, project, and service; provide actionable insights
Partner with finance, DevOps, platform, and product teams
Provide guidance on designing cost-efficient cloud-native systems

7+ years in Cloud Engineering roles with a focus on cost optimization
Deep hands-on experience with GCP (BigQuery, GKE, Firebase, Pub/Sub), AWS (EC2, S3, Lambda, EKS), and managed services like MongoDB Atlas, Elastic.co, ClickHouse
Strong working knowledge of DoiT Cloud Analytics, GCP Billing Export, AWS CUR (Cost & Usage Reports), and BigQuery
Proficient in Python, Bash, and automation frameworks for cost cleanup and reporting
Comfortable querying and visualizing cloud billing data to derive unit economics (e.g., cost per user, per API call, per deployment)
Familiar with cost management in Kubernetes (e.g., node cost allocation, workload optimization, spot/preemptible usage)
Ability to translate complex cost insights into actionable plans for engineering and business stakeholders

Lead DevOps Engineer

Key skills