FinOps Engineer

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Sutherland

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1986

🤝 B2B

🤖 Artificial Intelligence

☁️ SaaS

💰 $300M Secondary Market on 2014-10

B2B • Artificial Intelligence • SaaS

Sutherland is a global company specializing in digital transformation and business process outsourcing services. They leverage advanced technologies such as Artificial Intelligence, automation, and cloud engineering to drive digital performance and optimize critical business operations. Sutherland offers a variety of services including digital CX, enterprise technology solutions, and intelligent automation across multiple industries such as banking, healthcare, and telecommunications. Their focus is on delivering measurable outcomes, enhancing customer experiences, and enabling business agility through innovative digital solutions.

📋 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 • 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

🎯 Requirements

• 7+ years of cloud infrastructure or engineering experience • 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 • 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

🏖️ Benefits

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