Skill: Network (Enterprise / AI Infrastructure Context)

L3 – Senior Engineer / SME
Skill Requirement

Robust 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
Infini Band card and switches

Nvidia UFM

Skill Depth: Robust 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 secure releases (canary/shadow/blue green), prompt/model versioning, feature flags, and rollback plans.

📌 Senior Network Engineer Noida
🏢 HCLTech
📍 Noida