Track Lead Network LANWAN

Job description

Skill: Network (Enterprise / AI Infrastructure Context) L3 – Senior Engineer / SME Skill Requirement Strong hands-on expertise in enterprise networking and Linux systems Responsible for troubleshooting, performance tuning, and operational stability of network and OS layers supporting AI/HPC/Kubernetes workloads Networking (L3) Certifications (Preferred): CCNA (Mandatory baseline)CCNP (Strongly preferred) Experience: 5–10 years in data center / cloud networking operations Hands-on experience with:Routing & Switching (BGP, OSPF, VLANs)Load balancing, firewall basicsInfiniBand card and switchesNvidia UFMCCNA, CCNP preferred with working knowledge on InfiniBand and Mellanix Switches Skill Depth: Strong in incident troubleshooting and RCA Ability to diagnose:Latency, packet loss, connectivity failuresNetwork issues affecting GPU / distributed workloadsWorking knowledge of cloud networking (AWS/Azure/GCP)Working Knowledge of AI/HPC networking for distributed training for GPU-GPU communication.Define and maintain production readiness standards across platform, data, model, application, and security layers.Establish SLO/SLI frameworks for latency, availability, quality, safety, and drift implement error budget policies.Maintain compliance mappings (e.g., ISO 27001, SOC 2, GDPR/DPDP, HIPAA where applicable).Author PRR checklists, runbooks/playbooks, and DR/BCP blueprints (RTO/RPO, multi‑region/site failover). Drive enablement (trainings, brown-bags) and maintain knowledge repositories and decision records.Implement observability (tracing, metrics, logs), dashboards, and SLO burn and cost anomaly alerting.Execute safe releases (canary/shadow/blue green), prompt/model versioning, feature flags, and rollback plans. Key Responsibilities Skill Depth: Strong in incident troubleshooting and RCA Ability to diagnose:Latency, packet loss, connectivity failuresNetwork issues affecting GPU / distributed workloadsWorking knowledge of cloud networking (AWS/Azure/GCP)Working Knowledge of AI/HPC networking for distributed training for GPU-GPU communication.Define and maintain production readiness standards across platform, data, model, application, and security layers.Establish SLO/SLI frameworks for latency, availability, quality, safety, and drift implement error budget policies.Maintain compliance mappings (e.g., ISO 27001, SOC 2, GDPR/DPDP, HIPAA where applicable).Author PRR checklists, runbooks/playbooks, and DR/BCP blueprints (RTO/RPO, multi‑region/site failover). Drive enablement (trainings, brown-bags) and maintain knowledge repositories and decision records.Implement observability (tracing, metrics, logs), dashboards, and SLO burn and cost anomaly alerting.Execute safe releases (canary/shadow/blue green), prompt/model versioning, feature flags, and rollback plans. Skill Requirements Skill Requirement Strong hands-on expertise in enterprise networking and Linux systems Responsible for troubleshooting, performance tuning, and operational stability of network and OS layers supporting AI/HPC/Kubernetes workloads CCNA, CCNP preferred with working knowledge on InfiniBand and Mellanix Switches Other Requirements 1. Optional But Valuable Certifications: Cisco Certified Network Associate (Ccna), Comptia Network+, Itil Foundation. 2. Excellent communication and presentation skills. Must be able to clearly communicate with the customer and be able to present solutions to customers at CIO, CXO level 3. 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