- Support deployment and maintenance of NVIDIA DGX, HGX, and GPU-accelerated systems.

- Administer VMware environments, including ESXi, vCenter, and virtual networking/storage.

- Deploy and support Kubernetes clusters across various environments and distros (e.g., RKE, OpenShift, AKS, EKS, GKE).

- Perform day-to-day system administration across compute, storage, and networking layers.

- Manage Nutanix HCI platforms (Prism, AHV), including upgrades, patching, and cluster management.

- Automate infrastructure tasks using Shell scripts, Ansible, or similar tools.

- Collaborate with DevOps, data science, and engineering teams to ensure scalable, resilient infrastructure for AI/ML workloads.

- Monitor infrastructure health and performance; participate in troubleshooting and root cause analysis.

Qualifications :

- Min 4 years of experience in systems engineering or enterprise infrastructure roles.

- Experience with NVIDIA DGX, HGX, or other GPU-based compute platforms.

- Strong working knowledge of VMware virtualization technologies.

- Proficient with Kubernetes and experience managing multiple distributions (e.g., RKE, OpenShift, AKS, EKS).

- Familiarity with Nutanix HCI (Prism, AHV) is a plus.

- Understanding of enterprise storage, networking, and system monitoring tools.

- Scripting and automation experience (e.g., Bash, Python, Ansible).

- Strong communication, documentation, and troubleshooting skills.

- Comfortable working independently in a remote environment.