FinOps Engineer

Posted Yesterday
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Hiring Remotely in Hyderabad, Telangana, IND
In-Office or Remote
Senior level
Artificial Intelligence • Analytics
The Role
Own cloud cost management across GCP and AWS: reporting, optimization (rightsizing, CUDs/RIs, idle cleanup), tagging and chargeback, budget alerts, forecasting, and stakeholder communication. Support CloudOps/SRE activities including Datadog observability, incident response, on-call, and Kubernetes cost efficiency.
Summary Generated by Built In
Company Description

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.

Job Description

  • 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

Qualifications

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.

Additional Information

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

Skills Required

  • 7+ years cloud infrastructure or engineering experience, with 3+ years in FinOps or cloud cost management
  • Hands-on GCP cost tooling experience (Billing export, BigQuery cost export, Recommender, CUD analysis)
  • Experience with AWS cost tools (Cost Explorer, Savings Plans, Trusted Advisor)
  • Proven track record delivering measurable cloud cost savings
  • Experience building and maintaining tagging strategies and cost allocation frameworks
  • Comfortable in Kubernetes environments (node pools, resource requests/limits, namespace cost attribution)
  • Datadog experience for observability, dashboards, and cost-correlated monitoring
  • Terraform experience for infrastructure-as-code related to cost configurations
  • Strong communication skills to present cost trends and explain anomalies to non-technical stakeholders

Sutherland Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sutherland and has not been reviewed or approved by Sutherland.

  • Flexible Benefits Flexible scheduling and work-from-home arrangements are offered on certain programs, supported by remote-work infrastructure and virtual IT support. Program-specific flexibility is emphasized for “Sutherland Anywhere” roles.
  • Leave & Time Off Breadth Paid time off and paid training are positioned as standard elements, with some materials also highlighting flexible vacation days. Core leave features are presented as part of the baseline package.
  • Strong & Reliable Incentives Performance incentives, bonuses, and commissions are available on selected programs to supplement base pay. Goal-linked earnings opportunities are described for certain functions.

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The Company
HQ: Pittsford, NY
39,547 Employees
Year Founded: 1986

What We Do

We make digital ?????™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman

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