Sr Network Test Engineer — Data Center Fabrics

Sr Network Test Engineer — Data Center Fabrics

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Job Description:

What you’ll do:

• Design, build, and execute test plans for functional/feature validation, customer use cases, and proof-of-concept engagements on data center switching platforms.
• Design, develop, and execute comprehensive test plans to validate Junos/Sonic functionality on Broadcom-based switching platforms.
• Replicate customer network architectures in the lab, including multi-stage IP Clos fabrics (3-stage, 5-stage, and 7-stage spine-leaf designs).
• Perform functional, interoperability, scale, and convergence testing of BGP-based underlays and EVPN-VXLAN overlays.
• Test AI/ML data center fabric use cases — RoCEv2 traffic profiles, lossless Ethernet behavior (PFC/ECN/DCQCN tuning), congestion management, and load-balancing efficiency across GPU back-end fabrics.
• Validate IPv4 and IPv6 unicast/multicast forwarding, dual-stack designs, and IPv6-only fabric use cases.
• Configure and troubleshoot routing and overlay protocols: BGP (eBGP/iBGP underlay designs, route reflectors, route policies, communities, and multipath); EVPN route types; VXLAN bridging and routing (CRB/ERB); multihoming (ESI-LAG); and DCI scenarios.
• Use traffic generators (e.g., Ixia/Keysight, Spirent) to build traffic profiles, measure throughput, latency, packet loss, and convergence times.
• Identify, isolate, and document software defects; work with development teams to reproduce issues and verify fixes.
• Author clear, detailed test plans, test reports, and PoC summary documents for internal stakeholders and customers.
• Automate repetitive test workflows using Python, pytest, Ansible, or similar frameworks where applicable.
• Present test findings and demonstrations to customers during PoC reviews and technical deep-dives.
• Test and verify SAI (Switch Abstraction Interface) integration and ASIC driver behavior
• Validate optical modules across various speeds, breakout configurations, and transceiver management protocols.
• Contributions to SONiC or other open-source networking projects (highly valued)

What you need to bring:

• Bachelor’s or Master’s degree in Electronics, Computer Science, or a related field 7 - 10 years of experience in network software/testing/engineering/TAC/escalation role.
• Strong understanding of IPCLOS fabric architecture, AI/ML fabric, BGP, EVPN-VXLAN, and IPv6 networking protocols.
• A testing duty for AI/ML fabric use cases, including RoCEv2 traffic profiles and PFC/ECN/DCQCN tuning validation.
• Strong hands-on CLI experience with at least one major data center NOS (e.g., Junos, NX-OS, EOS, SONiC).
• Strong hands-on traffic generation and analysis tools (Ixia/Keysight IxNetwork, Spirent TestCenter, or open-source equivalents).
• Strong troubleshooting methodology — able to isolate issues across the control plane, data plane, and optics/physical layer.
• Strong analytical, debugging, and documentation skills. Excellent written and verbal communication skills, ability to produce customer-facing test reports, and presentation skills.
• Hands-on experience with SONiC NOS and SAI-based architectures  (preferred)
• Experience with traffic generators like Spirent or IxNetwork
• Familiarity with Broadcom SDKs such as SDKLT or OpenNSL (preferred)
• Solid grasp of SONiC architecture: SAI, FRR, Redis DB, Docker, Minigraph (preferred)
• Exposure to telemetry, gNMI, OpenConfig, and YANG/Netconf/REST API testing
• Proficient with Git, Jenkins, Docker, and lab-based testbed environments

Preferred Qualifications:

• Experience running customer PoC labs or certification/qualification/functional testing for a network equipment vendor, hyperscaler, or large enterprise.
• Hands-on experience with AI fabric benchmarking and validation tools (e.g., NCCL tests, perftest/ib_write_bw for RoCE, collective communication workload simulation)
• Familiarity with emerging standards such as Ultra Ethernet (UEC); exposure to InfiniBand is a plus.
• Familiarity with 100G/400G/800G optics (LR4, CWDM4, DR4, FR4), transceiver qualification, and high-density fixed/modular platforms.
• Scripting and automation experience — Python, pytest, Robot Framework, Ansible, or REST/NETCONF/gNMI-based automation.
• Exposure to telemetry and monitoring (gNMI/OpenConfig, SNMP, sFlow/IPFIX).
• Knowledge of GPU cluster back-end network designs (rail-optimized and fat-tree Clos topologies), RDMA over Converged Ethernet (RoCEv2), lossless Ethernet mechanisms (PFC, ECN, DCQCN), congestion control and advanced load balancing (dynamic/adaptive load balancing and flowlet switching), and 400G/800G connectivity for AI/ML training and inference workloads
• Relevant certifications such as JNCIP-DC/JNCIE-DC, CCNP/CCIE Data Center, or equivalent.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#india

#networking

Job:

Engineering

Job Level:

TCP_04

    

    

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