> Markdown version of [/jobs/ext/4543331-site-reliability-engineer-gpu-bare-metal](https://www.wearedevelopers.com/jobs/ext/4543331-site-reliability-engineer-gpu-bare-metal). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Site Reliability Engineer - GPU/Bare Metal - **Company:** GMI Cloud - **Location:** United, WV, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Bash Shell, Nvidia CUDA, Data Centers, Monitoring of Systems, Job Scheduling, Python (Programming Language), Linux System Administration, Reliability Engineering, Ansible, Tensorflow, Prometheus, Data Logging, Scripting, Graphics Processing Unit (GPU), Grafana, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Bare Metal, Slurm, Terraform - **Published:** November 3, 2026 - **Apply:** https://www.thejobnetwork.com/job/982ccf38-671a-44c8-975c-efd893b0ade1/site-reliability-engineer-gpubare-metal ## About the Role 1. Bachelor's degree in Computer Science or related field. \n 2. Over 3+ years of experience in data center operations, infrastructure, or systems engineering. \n 3. Proven experience in site reliability engineering and infrastructure automation (e.g. Ansible, Terraform) \n 4. Familiarity with containers orchestration platform (e.g. Kubernetes, Nvidia GPU operator, Nvidia Network operator, CNI, CSI) and job scheduling systems (e.g. Slurm). \n 5. Familiarity with Linux system administration and scripting (Python, Bash). \n 6. Familiarity with logging and monitoring tools such as Prometheus, Grafana, Loki. \n 7. Good knowledge of GPU architecture, Nvidia CUDA, NCCL, or related AI/ML frameworks - added advantage. \n 8. Strong troubleshooting skills and ability to analyze system logs and performance metrics. \n 9. Excellent communication and teamwork abilities. \n ## Description We are seeking a skilled Site Reliability Engineer to join the GMI Global Infrastructure team. This role is hands-on and critical to ensuring the stability, efficiency, and reliability of the large-scale high performance AI/ML clusters in our data center. The ideal candidate will bring expertise in system-level troubleshooting, AI cluster maintenance, and operational excellence to ensure maximum performance for our infrastructure. Experience with large-scale infrastructure automation is considered a strong plus.