FinOps Engineer III

ZoomInfo is seeking a FinOps Engineer to join the centralized FinOps team of its enterprise-scale, multi-cloud organization. The successful candidate will play a crucial part in optimizing core GCP and AWS spend, as well as the global suite of third-party tech stacks, by driving financial accountability and implementing best practices.

Responsibilities:

• Drive cloud and AI cost optimization across GCP and AWS by identifying, quantifying, and implementing savings opportunities spanning compute, storage, networking, and data services.
• Build and automate guardrails, including budget alerts, anomaly detection, and rightsizing recommendations to keep multi-cloud environments efficient by default.
• Design and enforce tagging and allocation frameworks that enable accurate cost attribution, showback/chargeback, budgeting & forecasting, and unit-economics reporting across teams and products.
• Manage commitment-based discounts by analyzing usage patterns and optimizing coverage and utilization.
• Partner directly with engineering teams to review and re-architect workloads for cost efficiency, embedding FinOps principles into design and deployment practices.
• Develop dashboards, reports, and forecasts that give stakeholders clear visibility into spend trends, drivers, and the ROI of optimization efforts.
• Govern third-party SaaS and tech-stack spend, partnering with engineering to evaluate, right-size, and consolidate vendor costs.
• Establish and evangelize FinOps best practices, standards, and self-service tooling that scale financial accountability across the organization.

Requirements:

• 3+ years of experience in cloud engineering, infrastructure, DevOps, or FinOps, with a strong focus on cost optimization and governance.
• Hands-on expertise with at least one major cloud provider (GCP or AWS); experience with both in a multi-cloud environment strongly preferred.
• Proven experience building and managing automated FinOps alerting: anomaly detection, budget and forecast thresholds, and alert routing and tuning.
• Familiarity with tracking AI model usage and spend across multiple LLM providers.
• Proficiency with cloud cost-management tooling (e.g., GCP Billing/BigQuery billing exports, AWS Cost Explorer/CUR, CloudHealth).
• Proficiency in SQL and at least one scripting language (Python preferred) for data analysis and automation.
• Experience building dashboards and reports in Looker, Looker Studio, Tableau or similar tools.
• Clear communication skills, and the ability to influence engineering and finance stakeholders without direct authority.