Applications Developer

Marsh McLennan•Louisville, KY

2d•Hybrid

About The Position

We are seeking a motivated Associate FinOps Engineer to join our Cloud Platform Solutions team at Marsh. This role will be based in Louisville, Kentucky. This is a hybrid role that has a requirement of working at least three days a week in the office. Reporting to the Senior Manager, Cloud Platform Solutions, the Associate FinOps Engineer will contribute to building and maintaining the data pipelines, APIs, and integrations that power cloud cost visibility, optimization, and governance across our multi-cloud environment.

Requirements

2-4 years of professional experience in software engineering, cloud engineering, or a related technical role.
Hands-on experience with AWS and/or Azure billing data (CUR, Azure Billing Exports, or equivalent).
Proficiency in Python, including building production-grade APIs, data pipelines, and integrations with cloud provider APIs.
Familiarity with data platforms such as Databricks, Snowflake, or similar; experience writing and optimizing SQL queries against large datasets.
Experience with CI/CD pipelines, version control (GitHub), and software development best practices (code review, testing, documentation).

Nice To Haves

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent experience.
FinOps Certified Practitioner (FCP) — FinOps Foundation, or equivalent hands-on FinOps experience.
Hands-on experience with cloud billing data (AWS CUR, Azure Billing Exports, OCI Billing Data and or FOCUS) and exposure to FinOps concepts
Experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production systems, including guardrail design and safety controls.
Exposure to ServiceNow workflow automation or Microsoft Teams bot/webhook integrations.

Responsibilities

Build and maintain Python data pipelines that ingest, normalize, and transform AWS CUR, Azure Billing Exports, and OCI billing data into unified cost datasets.
Develop and support REST API endpoints and integrations between cloud billing systems, Databricks, and downstream dashboards/reporting tools for self-serve cost analysis and automated reporting.
Partner with FinOps analysts and the data analytics team to translate cost visibility requirements into reliable engineering solutions.
Contribute to anomaly detection and cost optimization workflows, including alerts, recommendations, and notifications through email, Microsoft Teams, and ticketing platforms.
Maintain materialized views, support query optimization and data freshness monitoring, help develop LLM-based natural language query features with proper guardrails/audit logging, and keep technical documentation, runbooks, and support procedures current.