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Network Engineer (Data Center & AI Infrastructure)

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Onsite

Network Engineer (Data Center & AI Infrastructure)

TENARAI TECHNOLOGIES PRIVATE LIMITED

Network Engineer (Data Center & AI Infrastructure)

Skills

AI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

9 September 2026

What they need


Network Engineer (Data Center & AI Infrastructure)

We are looking for a hands-on, high-impact Network Engineers with minimum 6+ years of relevant experience to join our team. In this role, you will bridge the gap between complex network engineering and physical data center operations, spearheading deployments including cutting-edge AI-powered GPU infrastructure and ensuring maximum uptime.

If you thrive in fast-paced data center environments and love solving complex Layer 1/2/3, then you belong here.

Key Responsibilities

L1/L2/L3 Network Engineering: Configure, maintain, and troubleshoot core protocols including VLANs, trunking, LACP, STP, LLDP, and BGP.

Hardware Lifecycle Management: Lead the installation, provisioning, and verification of network hardware (routers, switches, servers, optics, SCMs, line cards, power/fans), as well as RMA processes.

AI Data Center Deployment: Support the specialized connectivity and hardware deployment required for high-density GPU clusters.

Remote & Field Collaboration: Act as the technical lead for onsite field technicians, guiding remote implementation, provisioning activities, and critical troubleshooting.

Technical Skills Required

Networking: Deep hands-on experience with L1, L2, and L3 environments (Routing, Switching, BGP, Spanning Tree, Link Aggregation).

Hardware Proficiency: In-depth knowledge of physical chassis components, supervisor modules, and infrastructure optics.

DC Infrastructure: Experience working with standard servers, switches, and deployment frameworks for AI/GPU data centers.

Operations: Strong background in field tech collaboration, hardware provisioning, and RMA workflows.

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