Keen to join a company that champions growth and development? Join a rapidly scaling AI cloud infrastructure provider building next-generation GPU platforms for large-scale AI training, experimentation, and inference, significantly expanding operations across the United States alongside continued international growth. The organization is inviting applications from experienced professionals for the role of Senior / Staff Site Reliability Engineer to scale and stabilize large-scale HPC and cloud environments powering GPU-intensive workloads. The ideal candidate will work alongside platform, ML, and infrastructure teams to architect reliable systems, automate operations, and improve observability across distributed compute clusters. Ready to make a move? Get in touch and apply today! Responsibilities: • Ensure the reliability, scalability, and performance of HPC and cloud infrastructure environments • Design, build, and maintain automation, observability, and monitoring frameworks for GPU compute clusters • Collaborate with ML, data, and platform engineering teams to deliver highly available infrastructure systems • Improve CI/CD pipelines, deployment workflows, and operational tooling • Contribute to infrastructure architecture discussions and long-term platform strategy • Diagnose performance bottlenecks across distributed systems and HPC workloads • Support and optimize Slurm-based GPU cluster environments • Participate in an on-call rotation supporting mission-critical infrastructure operations Skills/Must Have: • Deep experience in Site Reliability Engineering, DevOps, Infrastructure Engineering, or related fields • Strong experience supporting HPC or large-scale distributed compute environments • Deep Linux expertise (Ubuntu/Debian preferred) • Strong scripting and automation skills using Python, Go, or Bash • Hands-on experience with public cloud platforms or modern GPU cloud providers • Strong understanding of networking fundamentals (DNS, TCP/IP, routing, performance optimization) • Experience with Infrastructure-as-Code tooling such as Terraform and Ansible • Proven experience operating Slurm-based GPU/HPC clusters • Ability to troubleshoot distributed systems and optimize workload scheduling/performance Benefits: • Stock options • Remote working option and allowance Salary: • Circa $250,000 base salary