Senior Cloud FinOps Engineer- 10+ yrs- New York, New York- Onsite

Key ResponsibilitiesTraditional Cloud & Compute OptimizationAWS Commitment Optimization: Container Cost Allocation: Architectural Efficiency: FinOps for AI & Tokenomics GovernanceTokenomics Lifecycle Management:.GenAI Cost Control & us.Inference & AI for FinOps OperationsIntelligent Automation: (VTags).Non-Deterministic Forecasting:Required Experience & Skills:3+ years of direct experience in FinOps, Cloud Cost Management, and CostOptimization, with a heavy emphasis on the AWS ecosystem.1+ years of practical experience managing AI/ML infrastructure costs orgoverning LLM/GenAI token pipelines.7+ years of overall experience in cloud computing, infrastructure engineering, orIT financial management.Deep Technical Vocabulary: Clear understanding of AI infrastructure primitives,including GPU right-sizing, vector database scaling, context window economics,and prompt caching strategies.Financial Literacy: Ability to converse fluently with corporate CFOs regardingCapEx/OpEx shifts, TCO/ROI scenario analysis, and shifting metrics from "totaltoken burn" to "value delivered per token."Framework Mastery: Familiarity with the FinOps Framework (Inform, Optimize,Operate) and the newly emerging open standards from the TokenomicsFoundation and FOCUS (Framework for Open Cost Code).Certifications (Required):FinOps Certified Practitioner (FCP) or FinOps Certified Professional.AWS Certification (e.g., AWS Certified Solutions Architect Associate or SysOpsAdministrator).DesirablesFinOps Foundation AI Value or Technology Value Certifications.Strong background in building data visualization pipelines.Academic background in Business, Finance, Data Science, or ComputerScience.