Senior Production Engineer, Core PE

The role

You will ensure the reliability, scalability, and performance of Crusoe's GPU cloud. You will work on observability, incident response, and automation to support AI and HPC workloads.

What you will do

• Collaborate with cross-functional teams to define and evolve availability metrics including SLIs and SLOs
• Participate in production incident response and root cause analysis
• Build, operate, and improve observability using Prometheus, Grafana, Alertmanager, and OpenTelemetry
• Identify reliability risks and performance bottlenecks across distributed systems
• Develop automation and tooling to reduce operational toil and enable self-healing infrastructure
• Partner with compute, networking, storage, and platform teams to strengthen resilience and disaster recovery
• Contribute to improving operational processes and reliability best practices
• Grow technical depth through mentorship, training, and hands-on work

Required qualifications

• 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 a strong desire to deepen expertise in this area
• 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
• Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments
• A growth mindset and strong interest in reliability engineering, automation, and operational excellence

Nice to have

• 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

Benefits

• Pension contributions
• Private health and dental insurance
• Income protection
• Life assurance

About the company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power AI workloads. They use an energy-first approach to build AI infrastructure.