Tower Lead Network LANWAN

Job description

Skill: Network + Linux L4 – Lead Engineer / Architect / Platform Owner Skill Requirement Deep expertise in enterprise networking and Linux platform architecture Responsible for design, governance, scalability, and performance engineering of network and OS layers supporting AI/HPC/Kubernetes platforms at scale Owns platform standards, reference architectures, and reliability frameworks across multi-cluster and multi-region environmentsCCNA, CCNP preferred with working knowledge on InfiniBand and Mellanix Switches Networking (L4) Certifications (Preferred): CCNP (Mandatory baseline)CCIE (Strongly preferred)Specialized certifications in:Data Center / Service Provider NetworkingInfiniband, MellonixCloud Networking (AWS/Azure/GCP advanced tracks) Experience: 10–15+ years in enterprise / hyperscale network engineering and architectureProven experience in:Designing AI/HPC network architectures with Infiniband and Spectrum-X (Ethernet with RoCEv2) Multi-cluster Kubernetes networking (CNI, service mesh, ingress architectures)Hybrid and multi-cloud connectivity (on-prem ↔ cloud GPU clusters)Deep exposure to:High-performance GPU networking environmentsLarge-scale, multi-tenant infrastructure platforms Skill Depth: Architect and govern: Low-latency, high-throughput AI networks (InfiniBand, RDMA, RoCE, NVLink awareness, UFM and NetQ) Distributed training network topologies Define enterprise-level:Network architecture standards, segmentation, and security modelsScalability and resilience patterns for AI platformsLead optimization of:Network performance for GPU-intensive and distributed workloadsEstablish and drive: Production readiness frameworks across platform, data, model, and security layers SLO/SLI models for latency, availability, throughput, and reliability with error budgetsDefine and publish: Reference architectures for AI workloads (LLM, RAG, distributed inference, batch/stream pipelines)Standardize: Observability patterns (network telemetry, latency tracking, cost-performance correlation)Own: Capacity engineering (network throughput, concurrency, GPU fabric utilization)Define resilience engineering:Failover models, network redundancy, fault isolation, and recovery strategiesEstablish AI security and compliance frameworks :Zero Trust networking, segmentation, secure egress, data protection policies Key Responsibilities Skill Depth: Architect and govern: Low-latency, high-throughput AI networks (InfiniBand, RDMA, RoCE, NVLink awareness, UFM and NetQ) Distributed training network topologies Define enterprise-level:Network architecture standards, segmentation, and security modelsScalability and resilience patterns for AI platformsLead optimization of:Network performance for GPU-intensive and distributed workloadsEstablish and drive: Production readiness frameworks across platform, data, model, and security layers SLO/SLI models for latency, availability, throughput, and reliability with error budgetsDefine and publish: Reference architectures for AI workloads (LLM, RAG, distributed inference, batch/stream pipelines)Standardize: Observability patterns (network telemetry, latency tracking, cost-performance correlation)Own: Capacity engineering (network throughput, concurrency, GPU fabric utilization)Define resilience engineering:Failover models, network redundancy, fault isolation, and recovery strategiesEstablish AI security and compliance frameworks :Zero Trust networking, segmentation, secure egress, data protection policies Skill Requirements Skill Requirement Deep expertise in enterprise networking and Linux platform architecture Responsible for design, governance, scalability, and performance engineering of network and OS layers supporting AI/HPC/Kubernetes platforms at scale Owns platform standards, reference architectures, and reliability frameworks across multi-cluster and multi-region environmentsCCNA, CCNP preferred with working knowledge on InfiniBand and Mellanix Switches Other Requirements 1. Optional But Valuable Certifications: Cisco Certified Network Professional (Ccnp), Itil Foundation Certification Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 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. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion. 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