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 basics InfiniBand card and switches Nvidia UFM Skill Depth: Solid in

incident troubleshooting and RCA Ability to diagnose: Latency, packet loss, connectivity failures Network issues affecting GPU / distributed workloads Working 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