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Salary
$23k – $50k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 7+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Sutherland is an American business process and digital transformation company founded in 1986 that runs customer operations, back-office processing and analytics for large organisations. It works across healthcare, banking, insurance, telecommunications, retail and technology clients, combining offshore and nearshore delivery centres with automation and artificial intelligence intended to reduce the headcount those processes require. Headquartered in Pittsford, New York and privately held, it employs tens of thousands of people across more than a dozen countries and competes with the large Indian and Filipino outsourcing providers.

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.

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