Job Description

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.

Must have

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. Familiarity with GPU-accelerated workloads and distributed systems in AI/ML and HPC environments. Minimum Experience: 10+ years in IT, with at least 8+ years experience in VXLAN EVPN based data center networks that support hypercomputing and AI infrastructure. CCNP or CCIE Data Center (highly preferred).

Nice to haves

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 Is a Plus: Strong analytical and problem-solving skills, with the ability to make data-driven decisions. Exceptional communication and interpersonal skills, with a proven track record of working with diverse teams. Up-to-date knowledge of industry standards, security protocols, and compliance regulations in the banking sector. Demonstrated ability to adapt to emerging trends and technologies.
Responsibilities include:

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.

Technology Optimization:

Evaluate and enhance existing systems, identifying opportunities for innovation and efficiency. Utilize monitoring tools like Dynatrace to ensure system reliability and proactively address potential issues. Team Leadership and Mentorship: Mentor and guide junior architects and developers to foster a culture of excellence. Lead cross-functional technical discussions and provide direction to teams to achieve project goals.
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

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


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