Staff Production Engineer (Core PE)

• Crusoe is building the most reliable, energy-efficient, AI-optimized cloud platform — and Production Engineering sits at the heart of that mission. As a Staff 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 senior engineers who enjoy solving complex production problems, leading reliability strategy across 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
• Lead cross-functional efforts to define and evolve availability metrics for Crusoe’s cloud platform, including establishing, measuring, and improving SLIs and SLOs
• Drive production incident response, diagnosing and resolving service disruptions while leading post-incident reviews and root cause analysis
• Architect, operate, and improve observability across Crusoe’s infrastructure using tools such as Prometheus, Grafana, Alertmanager, and OpenTelemetry
• Identify reliability risks, performance bottlenecks, and early indicators of potential production issues across distributed systems
• Design and develop automation and tooling that reduces operational toil, improves recovery times, and enables self-healing infrastructure
• Partner with compute, networking, storage, and platform teams to strengthen service resilience and disaster recovery capabilities
• Define and champion operational processes, knowledge sharing, and reliability best practices across the engineering organization
• Mentor and grow junior and mid-level engineers, helping build technical depth across the team

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges- Deep knowledge of Linux/Unix systems, including debugging complex issues across kernel and user space
• A growth mindset and strong commitment to reliability engineering, automation, and operational excellence
• Experience with infrastructure-as-code and configuration management tools such as Terraform or Ansible
• Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments
• Exceptional communication skills and the ability to influence and collaborate across engineering teams
• 8+ years of experience in Production Engineering, SRE, or large-scale infrastructure operations
• Proven track record with incident management practices and reliability frameworks (SRE, ITIL, or similar)
• Hands-on experience with monitoring and observability tools such as Prometheus and Grafana
• Proficiency in scripting or programming with languages such as Go, Python, C, or C++
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
• Demonstrated experience supporting GPU workloads, HPC environments, or latency/throughput-sensitive distributed systems
• Strong understanding of modern cloud infrastructure fundamentals including Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP)
• Experience leading 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, growing teams, and developing deep expertise in Production Engineering