AI Infrastructure Nutanix Site Reliability Engineer

Job Title: AI Infrastructure Nutanix Site Reliability Engineer
Location: Saudi Arabia
Nationality: Saudi Nationals only
Experience: 5+ years

Job Overview:
We are seeking an experienced AI Infrastructure Site Reliability Engineer to support and optimize large-scale, distributed systems for a leading global technology client. The role focuses on ensuring high availability, scalability, and performance of AI-driven infrastructure in a Nutanix-based environment. End-to-end infrastructure management including hardware provisioning, firmware, OS, networking, storage, GPU tuning, and monitoring.

Main Responsibilities:

• Manage and maintain AI infrastructure on Nutanix platforms.

• Ensure system reliability, uptime, and performance through monitoring and automation.

• Troubleshoot infrastructure, network, and application issues.

• Implement CI/CD pipelines and infrastructure-as-code practices.

• Collaborate with engineering teams to improve system resilience and scalability.

• Optimize cloud and on-prem environments for AI/ML workloads.

Key Requirements:

• 5+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure roles.

• Strong experience with Nutanix (AHV, AOS, Prism).

• Strong understanding of hardware, OS, networking, and storage systems

• Experience with GPU environments and performance tuning

• Knowledge of cloud platforms (AWS, Azure, or GCP).

• Experience with containerization (Docker, Kubernetes).

• Proficiency in scripting (Python, Bash, or similar).

• Familiarity with monitoring tools (Prometheus, Grafana, etc.).

• Understanding of AI/ML infrastructure is a plus.

Other Details:
This position is based in Saudi Arabia and is open to Saudi nationals.

The role demands significant expertise in AI infrastructure management and a commitment to enhancing performance and reliability standards.