Network Consulting Engineer

Acuative Middle East; Riyadh; On-site; SAR 400,000 - 560,000; Full time

Job summary

Acuative Middle East seeks an experienced Network Consulting Engineer to design and optimize next-generation data center networks for AI/ML workloads, GPU clusters, and hyperscale infrastructure.

Role requires hands-on VXLAN EVPN, BGP, RoCEv2, RDMA, Cisco Nexus, Arista EOS expertise and fabric-based architectures to deliver low-latency, scalable networks for AI training and large-scale compute environments.

Qualifications

• Proven experience designing, deploying, and operating VXLAN EVPN-based data center networks.
• Hands-on experience with Arista EOS, spine-leaf architectures, and core routing protocols.
• Deep knowledge of BGP, OSPF, IS-IS, and multicast in fabric networks.
• Experience with AI/HPC networking requirements and GPU-accelerated infrastructure.

Responsibilities

• Design, deploy, and support VXLAN EVPN data center fabrics for AI and cloud-scale environments.
• Architect scalable spine-leaf designs using Cisco Nexus 9000, ACI, and Arista EOS.
• Configure L2/L3 segmentation, workload mobility, and network virtualization.
• Collaborate with compute, storage, cloud, and DevOps teams for end-to-end performance.
• Support network automation using Python, Ansible, Terraform (IaC).
• Conduct network performance testing and capacity planning for AI workloads.

Skills

VXLAN EVPN

BGP

RoCEv2

RDMA

Cisco Nexus

Arista EOS

Spine-leaf

Python

Ansible

Terraform

AI HPC networking

Education

CCIE Data Center

CCNP Data Center

Cisco Specialist – Enterprise Core

CCIE Data Center or equivalent

Tools

VMware NSX

KVM

Hyper-V

NVIDIA Spectrum

Arista ACE

Job description

We are seeking an experienced Network Consulting Engineer (NCE) specializing in VXLAN EVPN, AI Data Center Networking, and high-performance computing (HPC) environments. The successful candidate will be responsible for designing, implementing, and optimizing next-generation data center networks that support AI/ML workloads, GPU clusters, distributed computing, and hyperscale infrastructure.

This role requires deep expertise in modern data center networking technologies, including VXLAN EVPN, BGP, RoCEv2, RDMA, Cisco Nexus, Arista EOS, and fabric-based architectures. The ideal candidate will have hands-on experience building highly available, low-latency networks optimized for AI training, inference, and large-scale compute environments.

Key Responsibilities

• Design, deploy, and support VXLAN EVPN-based data center fabrics for AI, HPC, and cloud-scale environments.
• Architect and implement scalable spine-leaf network designs using platforms such as Cisco Nexus 9000, Cisco ACI, and Arista EOS.
• Configure and optimize Layer 2/Layer 3 segmentation, workload mobility, and network virtualization.
• Design and tune networks supporting GPU clusters, distributed AI training, and high-performance workloads.
• Optimize network performance for RoCEv2, RDMA, GPUDirect, and low-latency traffic flows.
• Implement and troubleshoot routing protocols including BGP, OSPF, IS-IS, and multicast.
• Deploy and manage data center fabric integrations with virtualization and container platforms including:
• VMware NSX
• KVM
• Hyper-V
• Collaborate with compute, storage, cloud, and DevOps teams to ensure end-to-end infrastructure performance.
• Support network automation initiatives using Python, Ansible, Terraform, and Infrastructure-as-Code (IaC) methodologies.
• Perform network performance testing, benchmarking, capacity planning, and optimization for evolving AI workloads.
• Provide technical leadership, troubleshooting expertise, and consulting guidance to enterprise customers and internal teams.

Required Skills & Experience

• Proven experience designing, deploying, and operating VXLAN EVPN-based data center networks.
• Strong hands-on experience with:
• Arista EOS
• Spine-leaf architectures
• Advanced knowledge of data center routing and switching technologies:
• BGP
• OSPF
• IS-IS
• Deep understanding of AI and HPC networking requirements, including:
• RoCEv2
• RDMA
• Priority Flow Control (PFC)
• Congestion management and latency optimization
• Experience supporting GPU-accelerated infrastructure and distributed computing environments.
• Strong troubleshooting skills across network control plane, data plane, and performance issues.
• Experience with network automation and orchestration tools:
• Python
• Ansible
• Terraform
• Understanding of hybrid cloud and multi-cloud networking architectures.

Preferred Qualifications & Certifications

• CCIE Data Center certification preferred.
• CCNP Data Center or equivalent advanced networking certification.
• Cisco certifications such as:
• Cisco Certified Specialist – Enterprise Core
• Experience with NVIDIA networking technologies, including:
• NVIDIA Spectrum switches
• Arista certifications such as Arista ACE are highly desirable.
• Experience designing and supporting AI infrastructure, hyperscale data centers, or HPC environments.