





Mid-level cloud role in a metro with some niche FinOps requirements increases applicant density moderately.
FinOps and GCP-focused SRE skills are specialized and less transferable across non-cloud or non-GCP roles.
Explicit 3+ GCP experience plus mandatory observability, SQL/BigQuery, and FinOps skills creates strict filters.
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Own design and implementation of cloud cost observability using GCP billing export, BigQuery, and dashboards to treat cost as a first-class system metric.
Define and manage SLOs and SLIs incorporating cost-efficiency to balance performance with expenditure and avoid masking over-provisioning as reliability.
Partner with engineering teams to right-size cloud architecture and enforce automated FinOps governance, including anomaly alerting and auto-remediation of orphaned or idle resources.
3+ years of hands-on SRE or DevOps experience specifically within Google Cloud Platform (GCP).
Advanced proficiency with observability tools like Prometheus, Grafana, or Datadog focused on usage metrics.
Strong SQL skills for analyzing complex cloud billing datasets in BigQuery.
Location: India, with a flexible hybrid work model requiring approx. 20 days onsite in Bangalore per quarter.
Experienced in correlating cloud spend anomalies with logs, traces, and deployments to identify root causes in complex distributed systems.
Ability to map microservices and Kubernetes namespaces to cost centers for precise cost allocation and showback.
Skilled in using Infrastructure as Code (IaC) to implement automated FinOps policies and remediation scripts, indicating a pragmatic, automation-driven FinOps mindset.