Software engineer QA (AI Networking solution)

12 - 22 years

40 - 50 Lacs

Posted:23 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description


Major responsibilities:

  • Customer-Focused Issue Reproduction & Analysis:

    Work closely with support and development teams to reproduce high-priority, real-world customer issues. Simulate complex network environments and help narrow down problematic areas.
  • Deep-Dive Testing & Debugging

    : Leverage advanced tools and logs to identify subtle defects such as memory leaks, race conditions, and system-level anomalies. Conduct forensic analysis of test failures.
  • Root Cause Assistance & Verificatio

    n: Collaborate with developers to perform root cause analysis and validate fixes. Design regression and edge-case tests to ensure long-term product stability.
  • Automation & Test Development

    : Build and maintain automated test suites for functional, regression, and system-level testing. Focus on increasing coverage for complex networking scenarios.
  • Quality Advocacy

    : Participate in design and code reviews, contributing to testability, reliability, and defect prevention discussions. Proactively identify risk areas in the system.

Qualification & Experience:

  • Experience Level: Proven experience as a QA/Test Engineer or in a sustenance/debugging role, preferably in networking or embedded systems domains.
  • Networking Expertise: Solid understanding of L2/L3 networking protocols and real-world deployment use cases.
  • Hands-on experience in using Networking test equipment.
  • Linux Debugging Skills: Hands-on experience with advanced Linux tools for performance and system analysis, such as:
  • strace, lsof, and dmesg for tracing and diagnostics
  • Valgrind, ASAN, and MSAN for memory debugging
  • Familiarity with tcpdump, Wireshark for packet analysis
  • Programming & Scripting: Strong scripting (Python/Bash) skills for automation.
  • CCNA/CCNP/CCIE is desirable

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