Senior Cloud FinOps Engineer

Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.

Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security. With employees based around the world, Magnet Forensics has been expanding our global presence.

As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity. If you think you would be the right person to join our team working towards this goal, we would love to hear from you!

Role Overview We're seeking a Senior Cloud FinOps Engineer to join the Shared Services Engineering team at Magnet Forensics. Reporting to the Director of the Shared Services group, you'll enable cloud and AI cost visibility, forecasting, and optimization across our AWS, Azure, and AI environments, and build the tooling and processes that give engineering and finance teams the data they need to make good decisions.

This is an engineering-first role. You will analyze, but you'll also automate those analyses, make concrete engineering recommendations, and leverage AI to operate more efficiently and effectively. You'll operate with significant autonomy and have real influence over how we manage and optimize a material cloud investment.

This role is a great fit if you're motivated by turning complexity into clarity, enjoy building tooling to eliminate manual processes, and want your work to have direct and measurable business impact. Please note: The interview process will include technical elements covering cloud architecture, writing code (tool-level scripting), and cloud cost analysis.