Site Reliability Engineer - Hosting

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