Network Engineer; Enterprise​/AI Infrastructure

Position: Network Engineer(Enterprise / AI Infrastructure)
Location: Bengaluru

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
Infini Band 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.