Network Engineer (Data Center & AI Infrastructure)

TENARAI TECHNOLOGIES PRIVATE LIMITED; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

TENARAI TECHNOLOGIES PRIVATE LIMITED is seeking a hands-on Network Engineer to bridge network engineering and data center operations, focusing on L1-L3 configuration and AI infrastructure deployments.

You will lead GPU data center connectivity, plus hardware provisioning and collaboration with field technicians to ensure uptime and smooth deployments.

Qualifications

• 6+ years of hands-on network engineering experience in data centers.
• Experience with data-center deployments and AI GPU infrastructure.
• Strong knowledge of L1/L2/L3 networking and core protocols.

Responsibilities

• Configure, maintain, and troubleshoot core network protocols in data centers.
• Lead hardware installation, provisioning, and RMA workflows.
• Support AI GPU cluster connectivity and deployment in DCs.
• Guide onsite field technicians and coordinate remote implementations.

Skills

Networking (L1-L3)

VLANs & Trunking

BGP/Spanning Tree/LACP

Hardware lifecycle management

AI GPU data center knowledge

Field tech collaboration

Job description

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.