Skill: Network (Enterprise / AI Infrastructure Context)L3 – Senior Engineer / SMESkill RequirementStrong hands-on expertise in

enterprise networking and Linux systemsResponsible for

troubleshooting, performance tuning, and operational stability

of network and OS layers supporting AI/HPC/Kubernetes workloadsNetworking (L3)Certifications (Preferred):CCNA (Mandatory baseline)CCNP (Strongly preferred)Experience:5–10 years in

data center / cloud networking operationsHands-on experience with:Routing & Switching (BGP, OSPF, VLANs)Load balancing, firewall basicsInfiniBand card and switchesNvidia UFMSkill Depth:Robust in

incident troubleshooting and RCAAbility 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.

📌 Senior Network Engineer (Mumbai)
🏢 HCLTech
📍 Mumbai