Production Engineer (Kubernetes)

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

At Crusoe, our Production Engineering team plays a pivotal role in ensuring the reliability and performance of our infrastructure. Production Engineer at Crusoe is dedicated to detecting, analyzing, and preventing issues to maintain high Service Level Agreements (SLAs) through Service Level Indicators (SLIs) and Service Level Objectives (SLOs). Through automation and proactive remediation, our Production Engineers resolve common errors automatically, then advise various engineering teams how to build resilient code. We anticipate and resolve issues before they impact our customers, conduct thorough post-mortems, and drive continuous improvement. Our customer-centric approach ensures that clients always have access to the virtual machines they depend on. This role is crucial for maintaining the "gold standard" reliability and performance of Crusoe's AI platform. The ideal candidate has experience in Production Engineering practices, understanding of distributed systems, networking, Linux, and a passion for automation and problem-solving. This is a full-time position.