Staff Production Engineer (Operational Excellence)
Leads reliability and operational excellence for Crusoe's GPU cloud platform, driving incident response, observability with Prometheus/Grafana, automation to reduce toil, and SLOs for AI/HPC workloads. Requires 8+ years in SRE/production engineering, Kubernetes, Linux, and programming in Python/Go.
209k – 253k
On-site8+ YOEDevOps / SRE
About the role
What You'll Be Working On
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
What You'll Bring to the Team
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
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
Bonus Points:
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
Compensation
Compensation will be paid in the range of $209,000 – $253,000 + Bonus
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