AI/ML GPU Infra SRE — Build, Scale, Sustain
GMI Cloud, Inc
Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
Job summary
GMI Cloud, Inc. is seeking a Site Reliability Engineer to join the Global Infrastructure team. The role emphasizes hands-on management of large-scale AI/ML compute clusters, focusing on stability, efficiency, and reliability across data-center infrastructure.
The ideal candidate will have expertise in system-level troubleshooting, automation, and experience with GPU infrastructure, with travel to data center locations as needed.
Qualifications
- Bachelor’s degree in Computer Science or related field.
- 3+ years of experience in data center operations, infrastructure, or systems engineering.
- Proven experience in site reliability engineering and infrastructure automation (e.g. Ansible, Terraform).
- Familiarity with containers orchestration platform (Kubernetes) and job scheduling systems (Slurm).
- Familiarity with Linux system administration and scripting (Python, Bash).
- Knowledge of logging/metrics tools such as Prometheus, Grafana, Loki.
Responsibilities
- Design, implement and maintain scalable AI/ML infrastructure solutions.
- Proactively monitor GPU cluster health, performance and troubleshoot issues across compute, accelerator, and storage systems.
- Automate deployment, configuration and management of infrastructure resources.
- Manage GPU node lifecycle workflows including provisioning, scaling, maintenance, decommissioning and upgrades.
- Implement CI/CD pipelines for infrastructure deployment and orchestration.
Skills
Education
Tools
Job description
GMI Cloud, Inc. is seeking a Site Reliability Engineer to join the Global Infrastructure team. The role emphasizes hands-on management of large-scale AI/ML compute clusters, focusing on stability, efficiency, and reliability across data-center infrastructure.
The ideal candidate will have expertise in system-level troubleshooting, automation, and experience with GPU infrastructure, with travel to data center locations as needed.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
