Cloud FinOps Engineer II
About The Position
CarGurus is seeking a Cloud FinOps Engineer II to join its Cloud Enablement team and help establish FinOps as an engineering capability. The role improves cloud cost visibility, attribution, governance, and optimization across Engineering. It focuses on strengthening the accuracy and coverage of cloud cost attribution, expanding self-service cost visibility, and helping engineering teams make informed decisions about cloud and AI spending. The engineer will build automation and platform capabilities for repeatable anomaly triage and savings workflows, support unit-cost metrics, and reduce manual effort involved in understanding and optimizing cloud consumption.
Requirements
- At least 2 years of hands-on experience with AWS infrastructure, cloud cost management, or FinOps-related engineering in an enterprise environment; experience may come from cloud infrastructure, platform engineering, or a dedicated FinOps role.
- Experience supporting production workloads in AWS.
- Working knowledge of Terraform and infrastructure automation.
- Experience with Python, Go, Bash, or another scripting language.
- Understanding of cloud cost concepts, including tagging, allocation, usage reporting, and anomaly detection.
- Ability to work with incomplete data and improve reporting accuracy over time.
- Strong written and verbal communication skills.
- A customer-focused approach to partnering with engineering and product teams.
- Curiosity about AI infrastructure, model usage, and the economics of cloud services.
Nice To Haves
- Experience with CloudZero, AWS Cost Explorer, CUR, or similar FinOps tooling.
- Experience partnering with Finance or FP&A on cloud budgeting, forecasting, cost allocation, and business reporting.
Responsibilities
- Build and maintain cloud cost attribution, tagging, and allocation capabilities across AWS.
- Implement and improve CloudZero integrations, dashboards, reports, and data quality checks.
- Develop automation for cost anomaly detection, alerting, and investigation workflows.
- Partner with Engineering, Product, Finance, and FinOps stakeholders to define useful unit-cost metrics.
- Support showback and chargeback capabilities by improving ownership, service, team, and cost-center mappings.
- Help establish FinOps checkpoints in the software development lifecycle.
- Identify and automate cloud savings opportunities, including rightsizing, lifecycle management, Savings Plans, and Graviton adoption.
- Contribute to AI cost governance, including Bedrock usage visibility, token or inference cost attribution, budgets, and model-cost controls.
- Build self-service tools and documentation that allow engineering teams to answer cost questions independently.
- Write reliable automation using Python, Go, Bash, Terraform, or similar tools.
- Participate in code reviews, incident response, operational support, and continuous improvement.
- Communicate findings clearly and turn analysis into actionable engineering recommendations.
Benefits
- Equity for all employees, both when they start and as they continue to grow with the company.
- Career development programs.
- Corporate giving programs.
- Employee resource groups and communities.
- Flexible hybrid model.
- Robust time off policies.
- Daily free lunch.
- New car discount.
- Meditation and fitness apps.
- Commuting cost coverage.
- The role may qualify for discretionary bonuses or incentives and Restricted Stock Units (RSUs).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
