QA Engineer | L2/L3 Protocols, Networking , Python , Testing, Manual Testing | 8-12 years

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

QA Engineer | L2/L3 Protocols, Networking , Python , Testing, Manual Testing | 8-12 years Bangalore, India Meet The Team The team specialises in delivering high-impact Proof of Concepts (PoCs) for AI-driven and massively scalable data-centre solutions. We work directly with customers to understand sophisticated requirements and architectures, taking full ownership of system configuration and end-to-end PoC execution. In these engagements, we rigorously analyse any convergence related test case that doesn'tencouragedpected result -drilling deep into protocols, system behaviour, and configuration to identify and resolve performance gaps. This enables us to deliver actionable optimisation insights, fine-tuning recommendations build mentorship guidance that achieve lower convergence, low laten outstanding superior performance. We perform root-cause analysis to ensure reliability and repeatable results, and collaborate closely with development engineering teams to supervise and resolve improvement improvementt requests, ensuring production-ready outcomes. Your Impact 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. Hands-on lab environment involving both software-based and hardware-based testing. 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,

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