Description

You will operate as an AI Site Reliability Engineer, focusing on maintaining Service Level Objectives for internal NVIDIA DGX and Cisco-UCS based AI platforms.

Responsibilities

• Lead, build, and run fully automated pipelines through the CI/CD system to deliver operational capabilities.
• Handle availability, latency, scalability, and efficiency of NVIDIA and Cisco UCS infrastructure using fault-tolerant approaches.
• Drive capacity planning, performance analysis, and instrumentation for non-functional system requirements.
• Automate operational capabilities using Python, Ansible, Terraform, or Go.
• Implement metrics-driven processes to ensure service quality targets are met.

Required Skills

• 5+ years administering and supporting Linux-based operating systems.
• Experience deploying and administering NVIDIA (DGX) or equivalent High-Performance Compute (HPC) clusters.
• Experience writing code in Python, Golang, or C/C++.
• Proficiency with GIT and CI/CD systems like Jenkins or GitLab.
• Deep knowledge of Kubernetes and Docker.
• Experience with infrastructure-as-code tools such as Terraform and Ansible.
• Familiarity with high-performance compute environments.
• Bachelor’s degree in Computer Science, IT, or equivalent experience.

Key Skills

Education

Any Graduate