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Strong Tier-1 brand and metro location, but niche storage QA specialization reduces applicant density.
Specialized enterprise storage, firmware, and system-level QA makes cross-industry transfer difficult.
Explicit 6–10 years plus domain and technical mandates enforce strict shortlisting.
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Own end-to-end quality engineering for enterprise storage platforms focusing on hardware-software interactions including firmware, drivers, and system software.
Design and build scalable Python-based automation frameworks and tools to enhance test coverage, validation, and debugging efficiency.
Investigate and resolve complex customer issues leveraging system-level debugging and apply AI/ML techniques for failure analysis, test optimization, and workflow automation.
6–10 years of experience in QA, system engineering, or storage systems in enterprise or distributed environments.
Strong programming skills in Python (or Perl) with experience building automation frameworks and tools.
Solid knowledge of Linux/Unix systems and system-level troubleshooting capabilities.
Familiarity with enterprise storage technologies including hardware, firmware, drivers, and platform software layers.
Experienced in strategic testing approaches addressing performance, reliability, scalability, and edge-case validations at the system level.
Demonstrates ability to mentor and lead teams while fostering innovation and engineering excellence.
Comfortable working in hybrid work model and collaborating across engineering teams to accelerate product quality improvements.