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, or strong desire to deepen expertise
• Familiarity with infrastructure-as-code and configuration management tools such as Terraform or Ansible
• Scripting or programming experience with Go, Python, C, or C++
• Strong communication skills and ability to collaborate across engineering teams
• Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments
• Growth mindset and strong interest in reliability engineering, automation, and operational excellence

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
• Passion for mentorship, learning, and developing deeper expertise in Production Engineering

What You'll Be Doing

• Collaborate with cross-functional teams to define and evolve availability metrics for Crusoe’s cloud platform, including establishing and improving SLIs and SLOs
• Participate in production incident response, diagnose and resolve service disruptions, contribute to post-incident reviews and root cause analysis
• Build, operate, and improve observability across infrastructure using tools such as Prometheus, Grafana, Alertmanager, and OpenTelemetry
• Identify reliability risks, performance bottlenecks, and early indicators of 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 engineering organization
• Continue growing technical depth through mentorship, training, and hands-on work operating large-scale AI infrastructure

Perks and Benefits

• Competitive benefits package supporting financial security, health, and well-being
• Pension contributions
• Private health and dental insurance
• Income protection
• Life assurance
• Equal opportunity employer with inclusive hiring practices