Senior GPU Cloud Reliability Engineer

Crusoe Energy Systems; Ireland; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Health benefits and wellness

Paid time off

401(k) match

Mental health resources

Job summary

Crusoe Energy Systems is seeking a Production Engineer focused on Operational Excellence to ensure reliability and performance of our GPU cloud powering AI workloads. You will reduce toil, automate tasks, and partner with compute, networking, and platform teams to strengthen resilience and disaster recovery.

The role emphasizes building scalable infrastructure, improving incident response, and growing technical depth through mentoring and hands-on work in large-scale AI infrastructure.

Qualifications

• Understanding cloud infra fundamentals incl. Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP).
• Experience with monitoring/observability tools such as Prometheus and Grafana; desire to deepen expertise.
• Experience supporting GPU workloads, HPC, or latency/throughput-sensitive distributed systems.
• Familiarity with infrastructure-as-code and configuration management tools like Terraform or Ansible.
• Growth mindset with focus on reliability engineering, automation, and operational excellence.
• 5+ years in Production Engineering, SRE, or large-scale infrastructure operations.

Responsibilities

• Improve reliability, scalability, and performance of Crusoe's GPU cloud platform.
• Collaborate with cross-functional teams to define and evolve availability metrics, SLIs, and SLOs.
• Participate in incident response, diagnose disruptions, and contribute to root cause analysis.
• Build, operate, and improve observability—Prometheus, Grafana, Alertmanager, OpenTelemetry.
• Develop automation and self-healing tooling to reduce toil and improve recovery times.

Skills

Reliability engineering

SRE practices

Scripting (Go/Python/C)

Linux systems

Tools

Kubernetes

Prometheus

Grafana

OpenTelemetry

Terraform

Ansible

Job description

Crusoe Energy Systems is seeking a Production Engineer focused on Operational Excellence to ensure reliability and performance of our GPU cloud powering AI workloads. You will reduce toil, automate tasks, and partner with compute, networking, and platform teams to strengthen resilience and disaster recovery.

The role emphasizes building scalable infrastructure, improving incident response, and growing technical depth through mentoring and hands-on work in large-scale AI infrastructure.