Sr Systems Engineer – AI Infrastructure (Req#1248)
Eplusinc · Remote - India · 2026-07-16
About this role
Overview
We are looking for an Sr Systems engineer with strong hands-on experience in enterprise infrastructure, including GPU-accelerated platforms, VMware, and Kubernetes. This role will support and scale infrastructure for AI/ML workloads across hybrid environments that include NVIDIA DGX, HGX, and Nutanix.
Your Impact
The essential functions of this position include:
• 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
• 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 6 years of experience in systems engineering or enterprise infrastructure roles
•
Skills asked for
- kubernetes
- ansible
- devops
- data science
- bash
- python
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