Senior Production Engineer, Oeprational Excellence

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.

About This Role:

Crusoe is building the most reliable, energy-efficient, AI-optimized cloud platform — and Production Engineering sits at the heart of that mission. As a Production Engineer focused on Operational Excellence, you will help ensure the reliability, scalability, and performance of Crusoe’s GPU cloud that powers next-generation AI workloads.

This role is ideal for engineers who enjoy solving complex production problems, improving large-scale distributed systems, and building automation that keeps infrastructure running smoothly. You’ll play a key role in strengthening the operational foundation of Crusoe’s cloud while helping scale infrastructure that supports demanding AI and HPC workloads.

You’ll partner closely with Production Engineers, infrastructure teams, and platform engineers to improve system reliability, reduce operational toil, and drive continuous improvements across Crusoe’s rapidly growing GPU cloud.

What You’ll Be Working On:

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Collaborate with cross-functional teams to define and evolve availability metrics for Crusoe’s cloud platform, including establishing, measuring, and improving SLIs and SLOs

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Participate in production incident response, diagnosing and resolving service disruptions while contributing to post-incident reviews and root cause analysis

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Build, operate, and improve observability across Crusoe’s infrastructure using tools such as Prometheus, Grafana, Alertmanager, and OpenTelemetry

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Identify reliability risks, performance bottlenecks, and early indicators of potential production issues across distributed systems

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Develop automation and tooling that reduces operational toil, improves recovery times, and enables self-healing infrastructure

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Partner with compute, networking, storage, and platform teams to strengthen service resilience and disaster recovery capabilities

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Contribute to improving operational processes, knowledge sharing, and reliability best practices across the engineering organization

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Continue growing technical depth through mentorship, training, and hands-on work operating large-scale AI infrastructure

What You’ll Bring to the Team:

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5+ years of experience in Production Engineering, SRE, or large-scale infrastructure operations

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Experience supporting GPU workloads, HPC environments, or latency/throughput-sensitive distributed systems

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Strong knowledge of Linux/Unix systems, including debugging complex issues across kernel and user space

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Previous experience in Infrastructure roles building or managing compute, storage or networking platforms

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Understanding of modern cloud infrastructure fundamentals including Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP)

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Familiarity with incident management practices and reliability frameworks (SRE, ITIL, or similar)

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Experience with monitoring and observability tools such as Prometheus and Grafana, or a strong desire to deepen expertise in this area

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Familiarity with infrastructure-as-code and configuration management tools such as Terraform or Ansible

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Scripting or programming experience with languages such as Go, Python, C, or C++

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Strong communication skills and the ability to collaborate across engineering teams

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Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments

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A growth mindset and strong interest in reliability engineering, automation, and operational excellence

Bonus Points:

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Experience working with Kubernetes or container orchestration platforms at scale

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Exposure to change management processes, operational readiness reviews, or structured root cause analysis

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Experience designing self-healing systems, automated remediation, or event-driven operational tooling

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Interest in scaling AI or HPC infrastruct