We are a $13 billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products. HCLTech is a globally recognized leader in the Tech and IT industry, but we’ve never forgotten the startup mindset that got us here. We’ve always approached our work with an idea-first attitude because every one of our accomplishments —no matter how big or small —can be traced back to an idea’s single spark. It’s that spark —that inner drive —that sets our people apart from our competitors. It enables us not just to pull off game-changing feat after game-changing feat but to better our world in the process. We want you to find your spark. Because that’s what drives you to be better, be more and ultimately, be more fulfilled. Position: - Network Consulting Engineer – VXLAN & AI Data Center Networking Location- London, UK Job Type- FHybrid Full time Employment - Permanent Role Overview: 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