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Tier-1 brand, metro location, mid-level experience range, and a common QA automation title increase competition.
Core QA automation skills transferable, but storage and system testing specialization increases industry specificity.
Explicit 4–6 years, mandatory automation, storage, Linux and CI/CD skills raise filter strictness.
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Design and develop scalable QA automation frameworks using Python or Perl with focus on GenAI-based testing and AI-driven QA solutions.
Develop and execute system-level tests validating performance, reliability, and scalability across storage, OS, and networking layers.
Integrate automation into CI/CD pipelines and collaborate with development teams to identify and resolve defects early.
4–6 years of experience in QA automation, system testing, or storage testing.
Proficient in Python or Perl programming languages.
Hands-on experience with Linux/Unix systems, testing frameworks like pytest or unittest, and CI/CD tools such as Jenkins or GitHub Actions.
Exposure to storage concepts (SAN/NAS, RAID, file systems) and system-level testing.
Experienced in building AI-driven automated testing solutions, preferably with interest or experience in Generative AI or LLM-based test generation.
Skilled in analyzing system architecture to define efficient test strategies across multiple platform layers, including storage, OS, and networking.
Comfortable working in hybrid model (approx. 2 days onsite) with collaborative engagement in DevOps and automation within complex distributed systems.