Cloud Finops Analyst

Cloud Finops Analyst - Detalhes da Vaga. ● In this role, you will sit at the intersection of Engineering, Finance, and Executive Leadership. ● You will bring rigorous financial discipline and data-driven insights to our infrastructure spend across AWS, GCP, OpenAI, and Anthropic. ●We aren''t just looking for someone who monitors high-level UI dashboards. ● We need an analyst who can roll up their sleeves, write complex SQL queries against raw billing data, run quantitative root-cause analyses on spend anomalies, and partner directly with engineering teams to execute technical cost-optimization strategies. ●Key Responsibilities- End-to-End Spend Visibility: Build executive dashboards and granularity reports across AWS, GCP, OpenAI, and Anthropic, tracking key metrics like amortized spend, forecast accuracy, unit costs, and token usage. ●- Structured Anomaly & Variance Root-Cause Analysis: Quantify and investigate budget variances. ● Methodically isolate drivers by slicing raw billing data by Cloud Provider. ●- Deep Infrastructure Optimization: Partner with DevOps and Engineering to evaluate technical efficiency—moving beyond basic off-hour schedules to rightsizing utilization metrics (vCPU/Memory), storage lifecycle tiering, Spot instances, and container cost allocation (EKS/GKE). ●- Commitment Strategy Management: Evaluate, purchase, and manage commitment-based discounts (AWS Savings Plans/Reserved Instances, GCP CUDs) to maximize discount coverage while maintaining flexibility. ●- GenAI & Token Cost Governance: Track unit economics (cost per prompt/token, custom GPU cluster utilization) and partner with AI engineers to set usage quotas, rate limits, and governance. ●- Cross-Functional Reconciliation: Bridge the gap between Finance and Engineering by reconciling accounting discrepancies (amortization, tax, out-of-cycle charges, billing cycle cutoff dates) using AWS Cost & Usage Reports (CUR) as the single source of truth. ●Key Requirements- 4+ years of hands-on experience in Cloud FinOps, Cloud Cost Engineering, or Technical Financial Analysis in multi-cloud environments. ●- Hands-On SQL Capability: Proven ability to query billing datasets using aggregations (GROUP BY), window functions (PARTITION BY, dynamic rolling averages), and deduplication logic. ● (Note: Hands-on SQL is evaluated in our interview process). ●- Cloud & Pricing Mechanics: In-depth technical knowledge of AWS/GCP services and pricing trade-offs between On-Demand, Savings Plans, RIs, and CUDs. ●- Quantitative Problem-Solving: Ability to structure investigation frameworks for unexpected cost spikes rather than relying on high-level theoretical assumptions. ●- Stakeholder Alignment: Strong communication skills to clearly articulate engineering trade-offs to Finance, and financial realities to Engineering teams. ●Preferred Qualifications- FinOps Certified Practitioner (FCP) or AWS/GCP technical certifications. ●- Hands-on experience tracking spend, token metrics, and custom GPU infrastructure for GenAI platforms (OpenAI, Anthropic, Bedrock, Vertex AI). ●- Experience automating billing reconciliation or data pipelines using Python or advanced data modeling. ●What We Value- Total Ownership: You don''t just flag a spend increase—you quantify it, isolate the root cause, propose an engineering fix, and track the realized savings. ●- Technical Depth: You understand the difference between high-level dashboard summaries and underlying resource usage metrics. ●- Bridge Building: You foster a culture of cost accountability and education across engineering teams without hindering innovation or development velocity. ●What We Look For

• Strong sense of ownership — takes end-to-end responsibility for outcomes, not just tasks. ●
• Self-motivated and proactive; able to operate independently with minimal supervision. ●
• A good team player who collaborates effectively across teams, geographies, and time zones. ●
• Proven track record of delivering measurable results in previous roles. ●. Requisitos para participar do processo. ● . O que oferecemos.