FinOps Engineer
Sutherland · Hyderabad, TS, in
Sutherland · Hyderabad, TS, in
Sutherland is seeking an experienced FinOps Engineer who will own cloud financial management across our GCP and AWS environments. Cost visibility, optimization, and stakeholder communication are your primary focus. As a secondary responsibility, you will contribute to CloudOps and SRE practices, giving you a complete view of the infrastructure you help optimize. • Own cloud cost reporting across GCP and AWS — weekly, monthly, and ad hoc dashboards for engineering and business stakeholders. • Drive cost optimisation: rightsizing, committed use discounts (CUDs / RIs), idle resource cleanup, storage lifecycle policies, and network egress reduction. • Design and enforce a cloud tagging strategy — define taxonomy, automate compliance checks, and resolve untagged resources. • Build showback and chargeback models so teams understand and are accountable for their spend. • Lead monthly FinOps review meetings — present spend trends, highlight anomalies, explain variances, and recommend actions. • Set up and maintain budget alerts, anomaly detection, and forecasting models. • Partner with product and engineering to embed cost awareness early in architecture and feature design. CloudOps & SRE — Secondary • Support day-to-day cloud operations on GCP and AWS: incident response, monitoring hygiene, and infrastructure health reviews. • Contribute to Datadog observability — dashboards, monitors, and alert tuning, particularly for cost-correlated signals. • Participate in on-call rotations and post-incident reviews with a cost lens on RCA. • Work with platform and SRE teams on Kubernetes cluster efficiency — node utilisation, autoscaling, and namespace-level cost attribution. TECH STACK Required • GCP — primary cloud platform (Billing API, BigQuery cost export, CUD analyser, GCP Recommender) • AWS — secondary cloud platform (Cost Explorer, Savings Plans, Trusted Advisor) • Kubernetes — node pools, resource requests/limits, namespace cost attribution • Datadog — monitoring and cost dashboards • Terraform — infrastructure as code for cost-related configurations Good to have • CloudZero — unit economics and cost allocation • Istio — service mesh and traffic cost observability • Python or SQL — cost data analysis and automation • Looker or Grafana — cost visualisation Must have • 7+ years of cloud infrastructure or engineering experience, with at least 3 years in a dedicated FinOps, cloud cost management, or platform economics role. • Hands-on GCP cost tooling experience — Billing export, Recommender, CUD analysis. • Proven track record of delivering measurable cloud cost savings. Be ready to talk numbers. • Strong communication skills — you can translate a complex cost anomaly into a clear story for a non-technical stakeholder. • Experience building and maintaining tagging strategies and cost allocation frameworks. • Comfortable in a Kubernetes environment — you understand what node pools and resource limits mean in cost terms. Nice to have • FinOps Foundation certification (FOCP) or equivalent. • Experience with CloudZero, Apptio Cloudability, or similar FinOps platforms. • SRE or CloudOps background — you understand what drives cloud spend from the inside. • AWS cost management experience: Savings Plans, Cost Anomaly Detection. All your information will be kept confidential according to EEO guidelines.