Introduction
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.
Job Description

EDUCATIONAL QUALIFICATIONS

• Bachelors in Computer Science/Applications/BTech Computer Science/MCA

Primary Skills :

• VXLAN EVPN Fabric Design & Deployment
• Cisco Nexus 9000 / Cisco ACI / Arista EOS Platforms
• Data Center Routing & Switching (BGP, OSPF, IS-IS, Multicast)
• RoCEv2, DCB, PFC, RDMA Optimization for AI/HPC
• Spine-Leaf Architecture for AI Workloads
• Low-Latency Networking for Multi-GPU & Distributed Training Systems
• Network Automation – Python, Ansible, Terraform (IaC)
• Integration with Virtualization & Container Platforms (VMware NSX, KVM, Kubernetes)
• Infrastructure Performance Tuning & Benchmarking for AI Workloads
• Hybrid/Multicloud Data Center Networking (Desirable)

Secondary Skills :

• Cisco ACI Policy Model & Multi-Site Fabric Design
• NVIDIA Networking (Cumulus Linux, Mellanox Spectrum Switches)
• Arista CloudVision & Arista ACE Certifications (Optional)
• IP Fabric Path, Multicast, and L2/L3 Segmentation Techniques
• Monitoring & Telemetry Tools (Cisco Nexus Insights, sFlow, NetFlow, SNMP)
• Performance Tuning for GPUDirect RDMA & AI Training Workloads
• Experience with Kubernetes CNI Plugins (Calico, Cilium, Multus)
• Version control and CI/CD for Infra-as-Code (Git, Jenkins, GitLab CI)
• Knowledge of NVIDIA DGX Systems or similar AI Compute Platforms
• Cloud Networking – AWS VPC, Azure VNet, GCP VPC, Interconnects for Hybrid AI Cluster .

Job Details
Role:
Network Consulting Engineer – VXLAN & AI Data Center Networking
Location :
Dubai
Close Date :
18-07-2025
Interested candidates may forward their detailed resumes to Careers@reflectionsinfos.com along with their notice period, current and expected CTC details. This is to notify jobseekers that some fraudsters are promising jobs with Reflections Info Systems for a fee. Please note that no payment is ever sought for jobs in Reflections. We contact our candidates only through our official website or LinkedIn and all employment related mails are sent through the official HR email id. Please contact careers@reflectionsinfos.com for any clarification/ alerts on this subject.

• 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