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.
Skills Required
- 10+ years of networking fundamentals and data center architecture experience
- 5+ years of hands-on EVPN, BGP, and VXLAN experience
- Expertise in TCP/IP, Layer 2/3 switching, routing, and data center architecture
- Experience designing Clos/Leaf-Spine and multi-tier network architectures
- Advanced network troubleshooting using packet sniffers, analysis tools, and diagnostic techniques
- Hands-on production experience with at least one major network platform, such as Arista, Cumulus, SONiC, Juniper, or Cisco
- Experience configuring, testing, validating, and resolving issues in production network environments
- Knowledge of Ethernet lossless networking, including PFC, ECN, DCQCN, and RoCEv2
- Experience configuring, troubleshooting, and optimizing InfiniBand networks for HPC
- Linux networking knowledge
- Expert-level Python scripting for network automation and tooling
- Extensive experience with Ansible, Salt, or equivalent automation frameworks
- Ability to develop CI/CD pipelines for network provisioning and testing
- Experience with Git and infrastructure-as-code practices
- Experience with lab simulation and topology validation tools such as NVIDIA Air, GNS3, or EVE-NG
- Bachelor's degree in computer science, electrical or computer engineering, physics, mathematics, or a related field, or equivalent industry experience
- Networking, Linux, or equivalent vendor certifications
- Kubernetes, Docker, and container networking experience
- Cloud networking experience with AWS, GCP, or Azure
- Hybrid cloud and on-premises integration experience
- Personal GitHub repository demonstrating Python and coding expertise
What We Do
Neysa is an India-based AI acceleration cloud provider focused on democratizing enterprise AI adoption. Co-founded by Sharad Sanghi and Anindya Das, it combines cloud infrastructure, AI systems, and cybersecurity expertise. Its flagship Neysa Velocis platform supports AI training, fine-tuning, inference, compute orchestration, security, and observability, helping organizations across high-growth markets such as India and beyond deploy and scale AI more quickly, safely, and cost-effectively.








