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Skills and signals

GCP Billing APIGCP BigQuery cost exportGCP CUD analyserGCP RecommenderAWS Cost ExplorerAWS Savings PlansAWS Trusted AdvisorKubernetes node poolsKubernetes resource requests/limitsKubernetes namespace cost attributionDatadog monitoringTerraform infrastructure as codeCloud cost optimizationCloud tagging strategyCloud financial managementFinOpsRemote / Hyderabad, TS, India

Job description

FinOps Engineer at Sutherland

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.

CloudOps & SRE — Secondary

TECH STACK

Required

Good to have

Must have

Nice to have

All your information will be kept confidential according to EEO guidelines.

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.
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.
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
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
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.
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.