Staff Production Engineer, Core PE

About the 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 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.

Responsibilities

• 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

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
• 8+ years of experience in Production Engineering, SRE, or large-scale infrastructure operations
• Demonstrated experience supporting GPU workloads, HPC environments, or latency/throughput-sensitive distributed systems
• Previous experience in Infrastructure roles building or managing compute, storage or networking platforms
• Deep knowledge of Linux/Unix systems, including debugging complex issues across kernel and user space
• Strong understanding of modern cloud infrastructure fundamentals including Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP)
• 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
• Experience with infrastructure-as-code and configuration management tools such as Terraform or Ansible
• Proficiency in scripting or programming with languages such as Go, Python, C, or C++
• Exceptional communication skills and the ability to influence and collaborate across engineering teams
• Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments
• A growth mindset and strong commitment to reliability engineering, automation, and operational excellence

Qualifications

• 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

Skills

• Linux/Unix systems
• Kubernetes
• Distributed systems
• Cloud platforms (AWS/GCP)
• Monitoring and observability tools (Prometheus, Grafana)
• Infrastructure-as-code and configuration management tools (Terraform, Ansible)
• Scripting or programming languages (Go, Python, C, C++)

Benefits

• Industry competitive pay
• Restricted Stock Units in a fast growing, well-funded technology company
• Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
• Employer contributions to HSA accounts
• Paid Parental Leave
• Paid life insurance, short-term and long-term disability
• Teladoc
• 401(k) with a 100% match up to 4% of salary
• Generous paid time off and holiday schedule
• Cell phone reimbursement
• Tuition reimbursement
• Subscription to the Calm app
• MetLife Legal
• Company paid commuter benefit; $300 per month

Pay

Compensation will be paid in the range of $209,000 – $253,000 + Bonus. Restricted Stock Units are included in all offers. Compensation will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Schedule

N/A