Hybrid FinOps Engineer: Cloud Cost Visibility & Optimization

Marsh; Austin (TX); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Marsh is seeking an Associate FinOps Engineer to join the Cloud Platform Solutions team in Austin, Louisville, or Phoenix. Hybrid role requiring in-office presence at least three days weekly.

You will own end-to-end cloud cost analysis across AWS, Azure, OCI, building cost visibility, dashboards, and automated actions to reduce spend. Ideal candidates have 3–6 years FinOps experience, deep billing data knowledge, and hands-on practice with Python, SQL, and multi-cloud cost models.

Qualifications

• 3–6 years of hands-on experience in a FinOps, cloud cost management, or cloud financial engineering role — genuine FinOps practice, not cloud engineering with some billing exposure.
• Deep working knowledge of AWS CUR, Azure Billing Exports, and OCI billing data — including schemas, amortization logic, and how Reserved Instances and Savings Plans flow through the data; familiarity with the FOCUS specification and cloud-agnostic cost data modeling.
• Proven experience identifying and quantifying waste opportunities across compute, storage, networking, and commitment coverage in multi-cloud environments.
• Proficiency in Python (production-quality code, APIs, automation workflows) and SQL (querying large, complex billing datasets); experience with GitHub and GitHub Actions for version control and CI/CD.
• Comfortable working in an Agile delivery environment using tools such as Azure DevOps (ADO); comfort using AI tools (Copilot, ChatGPT, Claude, or similar) as a standard part of your development and analysis workflow.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience

Responsibilities

• Own cloud cost analysis end to end — from raw billing data through to insights, recommendations, and automated actions that reduce spend
• Build and maintain waste detection logic across three cloud providers, identifying and quantifying cost reduction opportunities across compute, storage, networking, and commitment coverage
• Work with stakeholders to design and maintain cost allocation models for shared spend, ensuring accurate chargeback and showback across teams
• Design and operate anomaly detection workflows that identify cost spikes early and build root cause analysis tooling
• Build front-end dashboards and UIs for cost allocation, waste reporting, and anomaly visualization with finance and engineering stakeholders
• Define and document the cloud cost data model used by the Databricks analytics team, acting as the billing data SME
• Automate recommendations and remediations — routing actionable findings to engineering teams via Teams, email, and ServiceNow; building automated remediation for low-risk waste
• Integrate LLM capabilities into the platform to enable natural language cost querying with guardrails and audit controls

Skills

FinOps

Python

SQL

Cost optimization

Cloud billing data

Azure DevOps

GitHub Actions

LLM integration

Education

Bachelor's degree in CS/IS/Engineering

Tools

GitHub

GitHub Actions

Azure DevOps

Databricks

Power BI

Tableau

Job description

Marsh is seeking an Associate FinOps Engineer to join the Cloud Platform Solutions team in Austin, Louisville, or Phoenix. Hybrid role requiring in-office presence at least three days weekly.

You will own end-to-end cloud cost analysis across AWS, Azure, OCI, building cost visibility, dashboards, and automated actions to reduce spend. Ideal candidates have 3–6 years FinOps experience, deep billing data knowledge, and hands-on practice with Python, SQL, and multi-cloud cost models.