Senior Network Engineer

Job type: Full Time · Department: Engineering · Work type: On-Site

Mumbai, Maharashtra, India

About the Role

We're building AI/HPC infrastructure that powers the next generation of high-performance computing. As a Network Engineer, you'll responsible to design, build, and operate large-scale network fabrics that support GPU clusters, HPC workloads, and mission-critical AI systems. You'll engage across the full lifecycle—from requirements gathering and architecture design through deployment, optimization, and operational support. This is hands-on infrastructure work.

What you'll be doing:

·       Design and deploy EVPN-VXLAN Clos/Leaf-Spine Ethernet fabrics and InfiniBand networks for high-performance computing environments

·       Configure and troubleshoot BGP, OSPF, VXLAN, and EVPN protocols across multi-vendor platforms (Arista, Cumulus, SONiC, Juniper, Cisco)

·       Deploy lossless fabrics (Ethernet and InfiniBand) which use RDMA technologies for high-performance computing.

·       Build and validate network topologies in lab environments using simulation tools (NVIDIA Air, GNS3, EVE-NG)

·       Develop and optimize network automation solutions using Python and Ansible for network infrastructure

·       Support operational excellence: monitor network health, troubleshoot production issues, and coordinate with vendors for rapid resolution

·       Create comprehensive documentation, operational runbooks, and knowledge bases for customer support and knowledge transfer

What we need to see:

Core Networking (10+ years)

·       Deep expertise in TCP/IP stack, Layer 2/3 switching, routing, and data center architecture

·       Expert-level knowledge of BGP, OSPF, EVPN, and VXLAN (5+ years hands-on experience)

·       Strong understanding of Clos/Leaf-Spine fabric design and multi-tier network architectures

·       Advanced network troubleshooting using packet sniffers, analysis tools, and diagnostic techniques

·       Hands-on with at least one network operating system viz. Arista EOS, Cumulus Linux, Cisco, Nokia SR Linux etc.

·       Configuration, testing, validation, and issue resolution on these platforms in production environments

·       Ethernet lossless networking concepts (PFC, ECN, DCQCN, RoCEv2)

·       InfiniBand networks for HPC: configuration, troubleshooting, and performance optimization in large-scale environments

·       Linux networking knowledge

Automation & Infrastructure-as-Code

·       Expert-level Python scripting for network automation and tooling

·       Extensive experience with Ansible, Salt, or equivalent infrastructure automation frameworks

·       Ability to develop CI/CD pipelines for network infrastructure provisioning and testing

·       Git version control and Infrastructure-as-Code practices

·       Lab environment simulation and topology validation using NVIDIA Air, GNS3, EVE-NG, or similar tools

Ways to stand out from the rest:

·       Networking certifications: Cisco, Arista, Nokia, Nvidia or equivalent

·       Linux Certifications

·       Kubernetes and Docker; container networking

·       Cloud networking: AWS, GCP, Azure; hybrid cloud and on-premises integration

·       Personal GitHub repository with Python examples and evidence of coding expertise

Minimum Qualifications:

Bachelor’s degree in computer science, Electrical/Computer Engineering, Physics, Mathematics, or related field (or equivalent industry experience) years of networking fundamentals and data center architecture · 5+ years of hands-on EVPN/BGP/VXLAN experience · Proficiency in at least one major platform (Arista, Cumulus, SONiC, Juniper, Cisco) · Production troubleshooting experience.


Soft Skills:

·       Strong problem-solving and debugging abilities

·       Ownership mindset with accountability for deployment quality and customer success

·       Cross-functional collaboration with other teams

·       Proactive approach to continuous learning and staying current with AI infrastructure trends

·       Strong documentation and presentation skills, with ability to defend design decisions in peer reviews.

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