AI Infrastructure Nutanix Site Reliability Engineer
About This Role
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.
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