Associate Cloud Automation & FinOps Engineer

Marsh McLennan•Louisville, KY

20h•Hybrid

About The Position

We are seeking a motivated Associate Cloud Automation & 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. This role is split between building cloud automation and supporting FinOps tooling — you’ll design Python automation to improve operations, deliver and extend FinOps platforms, participate in POCs for new tools, and integrate automations across our FinOps ecosystem.

Requirements

Bachelor’s degree in computer science, software engineering, or a closely related field
Proficiency in Python, including experience writing scripts, functions, and working with libraries and APIs.
Familiarity with Git and GitHub for source control and collaborative development.
Understanding of core computer science concepts: data structures, algorithms, and object-oriented design.
Strong problem-solving skills and eagerness to learn in a fast-paced cloud environment.
Exposure to or curiosity about AI and large language model tools and their application in software development and automation workflows.

Nice To Haves

Hands-on experience with Python and cloud platforms (AWS or Azure) through coursework, projects, or internships.
Familiarity with CI/CD concepts and tools (e.g., GitHub Actions) and integrating with RESTful APIs using Python.
Interest and ability to evaluate new tools, design/execute POCs, and clearly communicate findings.

Responsibilities

Design, develop, and maintain Python-based automation scripts and pipelines to provision, monitor, and manage cloud resources across AWS and Azure, reducing manual effort and improving reliability.
Build and integrate automation into CI/CD workflows and collaborate with cloud engineering to ensure seamless deployment and operations.
Manage code quality and lifecycle in GitHub (version control, branching strategies, pull requests, and code reviews) while writing clean, testable, and well-documented Python code.
Troubleshoot, optimize, and harden automation workflows and runbooks to improve operational resilience and mean time to recovery.
Deliver, and support FinOps tooling platforms that provide cloud cost visibility, optimization, and governance across the organization.
Develop integrations and automations that connect FinOps platforms to cloud provider APIs (AWS, Azure) and other data sources to automate data collection, reporting, and alerts.
Participate in proofs of concept (POCs) for emerging FinOps tools, evaluate technical fit, and document findings, and patterns.
Serve as a technical resource for the FinOps and engineering teams by creating documentation, dashboards, automated reports, and support procedures to surface cost and usage insights.