Crusoe
Tech / AI / Software
SeniorProductionEngineer,OeprationalExcellence
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Production Engineer, Oeprational Excellence at Crusoe. Skills: Production Engineering, SRE, large-scale infrastructure operations, GPU workloads support, HPC environments support, Linux/Unix systems debugging, cloud infrastructure fundamentals, Kubernetes, distributed systems, monitoring and observability tools, infrastructure-as-code, scripting or programming. ensure the reliability, scalability, and performance of Crusoe’s GPU cloud. strengthen the operational foundation of Crusoe’s clo”
Industry & Context.
problem-solving; solving complex production problems; debugging complex issues; troubleshooting complex issues
Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments
What They're Looking For.
Must Have
5+ years of experience in Production Engineering, SRE, or large-scale infrastructure operations, Experience supporting GPU workloads, HPC environments, or latency/throughput-sensitive distributed systems, knowledge of Linux/Unix systems, including debugging complex issues across kernel and user space, Previous experience in Infrastructure roles building or managing compute, storage or networking platforms, Understanding of modern cloud infrastructure fundamentals including Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP), Familiarity with incident management practices and reliability frameworks (SRE, ITIL, or similar), Experience with monitoring and observability tools such as Prometheus and Grafana, or a desire to deepen expertise in this area, Familiarity with infrastructure-as-code and configuration management tools such as Terraform or Ansible, Scripting or programming experience with languages such as Go, Python, C, or C++, communication skills and the ability to collaborate across engineering teams, Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments, A growth mindset and interest in reliability engineering, automation, and operational excellence
Nice to Have
Experience working with Kubernetes or container orchestration platforms at scale, Exposure to change management processes, operational readiness reviews, or structured root cause analysis, Experience designing self-healing systems, automated remediation, or event-driven operational tooling, Interest in scaling AI or HPC infrastructure and solving reliability challenges in GPU-heavy environments, Passion for mentorship, learning, and developing deeper expertise in Production Engineering
What You'll Do.
ensure the reliability
and performance of Crusoe’s GPU cloud
strengthen the operational foundation of Crusoe’s cloud
scale infrastructure that supports demanding AI and HPC workloads
improve system reliability
reduce operational toil
drive continuous improvements across Crusoe’s rapidly growing GPU cloud
define and evolve availability metrics for Crusoe’s cloud platform
and improve SLIs and SLOs
participate in production incident response
contribute to post-incident reviews and root cause analysis
and improve observability across Crusoe’s infrastructure
identify reliability risks
performance bottlenecks
and early indicators of potential production issues
develop automation and tooling that reduces operational toil
improves recovery times
and enables self-healing infrastructure
and platform teams to strengthen service resilience and disaster recovery capabilities
contribute to improving operational processes
and reliability best practices
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; partner closely with Production Engineers, infrastructure teams, and platform engineers; partner with compute, networking, storage, and platform teams; collaborate across engineering teams
Communication Scope
communication skills and the ability to collaborate across engineering teams
Process & Methodology
incident management practices
Full Job Description
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
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