Senior Production Engineer (Core PE)

Join Crusoe, a company dedicated to building the most reliable, energy-efficient, AI-optimized cloud platform. As a Senior Production Engineer, you will play a key role in ensuring the reliability, scalability, and performance of Crusoe's GPU cloud. You will collaborate with cross-functional teams, participate in production incident response, and develop automation and tooling to improve operational efficiency. This role is ideal for engineers who enjoy solving complex production problems and building automation to keep infrastructure running smoothly.

• Collaborer avec des équipes interfonctionnelles pour définir et faire évoluer les métriques de disponibilité de la plateforme cloud de Crusoe, y compris l'établissement, la mesure et l'amélioration des SLIs et SLOs.
• Participer à la réponse aux incidents de production, diagnostiquer et résoudre les interruptions de service tout en contribuant aux revues post-incident et à l'analyse des causes profondes.
• Développer l'automatisation et les outils qui réduisent le travail opérationnel, améliorent les temps de récupération et permettent une infrastructure auto-réparatrice.
• 5+ years of experience in Production Engineering, SRE, or large-scale infrastructure operations
• Strong communication skills and the ability to collaborate across engineering teams
• Familiarity with infrastructure-as-code and configuration management tools such as Terraform or Ansible
• 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
• Scripting or programming experience with languages such as Go, Python, C, or C++
• Understanding of modern cloud infrastructure fundamentals including Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP)
• A growth mindset and strong interest in reliability engineering, automation, and operational excellence
• Previous experience in Infrastructure roles building or managing compute, storage or networking platforms
• Strong knowledge of Linux/Unix systems, including debugging complex issues across kernel and user space
• Experience supporting GPU workloads, HPC environments, or latency/throughput-sensitive distributed systems
• Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments
• Passion for mentorship, learning, and developing deeper expertise in Production Engineering
• Interest in scaling AI or HPC infrastructure and solving reliability challenges in GPU-heavy environments
• Experience designing self-healing systems, automated remediation, or event-driven operational tooling
• Experience working with Kubernetes or container orchestration platforms at scale
• Exposure to change management processes, operational readiness reviews, or structured root cause analysis