Senior Production Engineer, Operational Excellence

Responsibilities

• Collaborate with cross-functional teams to define and evolve availability metrics for Crusoe’s cloud platform, including establishing, measuring, and improving SLIs and SLOs
• Participate in production incident response, diagnosing and resolving service disruptions while contributing to post-incident reviews and root cause analysis
• Build, 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
• 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
• Contribute to improving operational processes, knowledge sharing, and reliability best practices across the engineering organization

Requirements

• 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
• Strong 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
• 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++
• Strong 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

Nice-to-Haves

• 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

Compensation

• Base salary range: $172,000 – $209,000 + Bonus
• Restricted Stock Units included