FinOps Engineer

Sutherland · Hyderabad, TS, India

ExclusiveRemoteFull-timePublished Jul 22, 2026

Apply directly on Sutherland’s careers site — no account needed.

About the role

  • 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.

Skills

  • Datadog
  • AWS
  • GCP
  • GitHub Actions

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