Software QA Engineer

About the Role

This Software QA Engineer role involves working with cutting-edge technologies such as 400G/800G Ethernet fabrics, AI, and GPU data centers. You will be responsible for delivering high-impact Proof of Concepts (PoCs) for AI-driven and massively scalable data-centre solutions, working directly with customers to understand sophisticated requirements and architectures.

You will take full ownership of system configuration and end-to-end PoC execution, rigorously analysing convergence related test cases and drilling deep into protocols, system behaviour, and configuration to identify and resolve performance gaps.

Key Responsibilities

• Work with cutting-edge 400G/800G Ethernet fabrics used in AI and GPU data centers.
• Gain exposure to IP routed and VxLAN fabric and the full NVMeoF stack, from Linux kernel tuning to RoCEv2 fabric automation.
• Collaborate with senior architects to compose next-generation lossless Ethernet builds for AI workloads.
• Configure and validate Linux/Ubuntu servers for RoCEv2 and NVMeoF traffic generation using 400G NICs.
• Perform system-level tuning including kernel parameters, sysctl, IRQ affinity, NUMA, hugepages, and NIC offloads to optimize RDMA performance.
• Execute NVMeoF traffic tests using software tools (e.g., IB Perf) and hardware traffic generators (Spirent).
• Capture and analyze fabric metrics such as latency, throughput, packet loss, and congestion response.

Skills & Qualifications

• Solid understanding of RDMA, RoCEv2, and NVMe over IP Fabrics (RDMA) architectures.
• Strong hands-on experience with Linux/Ubuntu systems administration and tuning.
• Proficiency in Python scripting and automation frameworks (pytest, paramiko, REST APIs, YAML, Ansible).
• Experience configuring PFC and ECN parameters on Linux servers and network switches for RoCEv2.
• Familiarity with traffic generation tools, and commercial hardware tools (Ixia, Spirent).
• Deep knowledge of network protocols including IP, BGP, VxLAN, TCP congestion control, and QoS.
• Strong debugging skills using Linux utilities (ethtool, tc, sysctl, ibv_devinfo, rdma link, nvme list).
• Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent practical experience in network test and automation environments.

What You'll Learn

In this role, you will gain hands-on experience with cutting-edge technologies such as 400G/800G Ethernet fabrics, AI, and GPU data centers. You will learn how to deliver high-impact Proof of Concepts (PoCs) for AI-driven and massively scalable data-centre solutions, and how to work with senior architects to compose next-generation lossless Ethernet builds for AI workloads.

You will also learn how to perform system-level tuning, execute NVMeoF traffic tests, and capture and analyze fabric metrics such as latency, throughput, packet loss, and congestion response.

Resume Tip

When applying for this role, make sure to highlight your experience with Linux/Ubuntu systems administration and tuning, as well as your proficiency in Python scripting and automation frameworks. Also, be sure to mention any experience you have with traffic generation tools, commercial hardware tools, and network protocols such as IP, BGP, VxLAN, TCP congestion control, and QoS.

Additionally, be sure to emphasize your strong debugging skills using Linux utilities and your ability to work with senior architects to compose next-generation lossless Ethernet builds for AI workloads.