Cisco Network Consulting Engineer with strong exp in VXLAN EVPN

We are seeking a highly skilled Network Consulting Engineer (NCE) to design and implement next-generation VXLAN EVPN-based data center networks that support hypercomputing and AI infrastructure. This role is central to enabling the high-performance, low-latency environments required for multi-GPU clusters, distributed training pipelines, and scalable AI workloads.

The ideal candidate will bring deep expertise in VXLAN, BGP, EVPN, RoCEv2, and fabric-based networking, along with a solid understanding of the networking demands of large-scale AI and HPC environments.

Key Responsibilities:

Design, deploy, and manage VXLAN EVPN-based fabric networks supporting AI and high-performance computing workloads.

Build scalable spine-leaf architectures using Cisco Nexus 9000 or Arista Switches, ensuring efficient Layer 2/Layer 3 segmentation and workload mobility.

Optimize network performance for RoCEv2, GPUDirect, and low-latency traffic flows, ensuring maximum throughput and minimal jitter for GPU-accelerated clusters.

Configure underlay and overlay protocols including BGP, OSPF, IS-IS, and troubleshoot connectivity and control-plane issues.

Integrate data center fabric with virtualization platforms such as VMware NSX, KVM, and Hyper-V, as well as Kubernetes-based AI infrastructure.

Collaborate with compute, storage, and DevOps teams to ensure end-to-end performance across AI training, fine-tuning, inference, and ETL pipelines.

Drive network automation efforts using tools such as Python, Ansible, and Terraform, enabling Infrastructure-as-Code (IaC) for repeatable, scalable deployments.

Participate in performance tuning, benchmarking, and capacity planning for evolving AI workloads and future-proof infrastructure designs.

Required Skills & Expertise:

Proven experience designing and operating VXLAN EVPN-based data center networks.

Strong knowledge of Cisco ACI, Nexus 9000, or Arista EOS platforms.

Expertise in data center routing and switching, including BGP, OSPF, IS-IS, multicast, and fabric path.

Deep understanding of AI-specific networking needs, including RoCEv2, DCB, PFC, and RDMA optimization.

Hands-on experience with automation and orchestration tools such as Python, Ansible, and Terraform.

Familiarity with GPU-accelerated workloads and distributed systems in AI/ML and HPC environments.

Preferred Qualifications & Certifications:

CCNP or CCIE Data Center (highly preferred)

Cisco Certified Specialist - Enterprise Core or Data Center Core

Additional certifications in NVIDIA Networking (Cumulus/Spectrum) or Arista ACE are a plus

Experience with hybrid and multi-cloud networking for AI clusters is desirable