Network Engineer(Enterprise / AI Infrastructure)

Job Title: Network (Enterprise / AI Infrastructure)

Location: Noida/Bangalore

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:
• Strong 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.