Kubernetes SRE for AI Infra & GPU Clusters

GMI Cloud; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

GMI Cloud, a fast-growing AI infrastructure startup in Silicon Valley, seeks a dynamic Site Reliability Engineer with expertise in Kubernetes. This hands-on role is essential for managing the stability and efficiency of high-performance AI/ML clusters.

The ideal candidate will have a Bachelor's degree in Computer Science and over 3 years of experience in data center operations. Responsibilities include designing scalable solutions, monitoring system performance, and automating infrastructure resource management.

Qualifications

• Over 3 years of experience in data center operations or systems engineering.
• Proven experience in infrastructure automation.
• Familiarity with logging and monitoring tools.

Responsibilities

• Design and maintain AI/ML infrastructure solutions.
• Monitor GPU cluster performance and troubleshoot issues.
• Automate infrastructure resource management.

Skills

Site reliability engineering

Infrastructure automation

Kubernetes

Troubleshooting skills

Linux system administration

Python scripting

Ansible

Terraform

Monitoring tools (Prometheus, Grafana)

Education

Bachelor’s degree in Computer Science or related field

Tools

Ansible

Terraform

Kubernetes

Prometheus

Grafana

Job description

GMI Cloud, a fast-growing AI infrastructure startup in Silicon Valley, seeks a dynamic Site Reliability Engineer with expertise in Kubernetes. This hands-on role is essential for managing the stability and efficiency of high-performance AI/ML clusters.

The ideal candidate will have a Bachelor's degree in Computer Science and over 3 years of experience in data center operations. Responsibilities include designing scalable solutions, monitoring system performance, and automating infrastructure resource management.