Infogain - Network Engineer - Data Center & AI Infrastructure

: Network Engineer (Data Center & AI Infrastructure) We are looking for a hands-on, high-impact Network Engineers with minimum 3+ 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.