Cloud FinOps Analyst

Tenarai - LATAM; São Paulo; Presencial; BRL 180 000 - 240 000; Tempo integral

Resumo da oferta

Tenarai - LATAM is seeking a hands-on Cloud FinOps Analyst to establish financial visibility and cost controls across AWS, GCP, OpenAI, and Anthropic.

You will write complex SQL against billing data, run root-cause analyses, and partner with Engineering to optimize spend and negotiate commitments.

The role sits at the intersection of Engineering, Finance and Leadership, driving governance for GenAI costs.

Qualificações

• 4+ years hands-on experience in Cloud FinOps or similar.
• Proficient SQL with complex queries and window functions.
• Deep knowledge of AWS/GCP services and pricing options.
• Ability to analyze billing data and identify optimization opportunities.
• Experience coordinating with Engineering and Finance.

Responsabilidades

• End-to-End Spend Visibility across providers with dashboards and reports.
• Anomaly root-cause analysis on spend variances using raw billing data.
• Collaborate with DevOps to optimize infrastructure costs (rightsizing, Spot, etc.).
• Manage commitment discounts (Savings Plans, RI, CUDs) to maximize coverage.
• Govern GenAI token costs and set usage quotas with AI engineers.
• Reconcile accounting with CUR as source of truth.

Conhecimentos

Cloud FinOps

SQL analytics

Cost optimization

Cross-functional collaboration

Data-driven decision making

Ferramentas

Python

CUR reports

AWS Pricing & RI

GCP pricing models

Descrição da oferta de emprego

Only CVs in English will be considered

About the Role

We are looking for a hands‑on, highly analytical Cloud FinOps Analyst to establish deep financial visibility, control, and efficiency across our multi‑cloud and modern AI infrastructure.

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.