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Tier-1 employer, mid-level (4–6 yrs), metro location, and broadly attractive QA automation skills drive high competition.
Storage system and GenAI testing needs moderately limit transferability across industries.
Explicit 4–6 years and mandatory QA automation, storage, Linux, and Python skills make filters highly strict.
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Design and develop scalable automation frameworks and AI-driven QA solutions using Python or Perl to support system-level tests for storage and OS environments.
Create and implement test strategies including GenAI-based test generation, defect triage, log parsing, and support continuous testing via CI/CD integration.
Collaborate with development teams to identify and resolve defects early, driving innovation through AI-assisted testing and automation enhancements.
4–6 years of experience in QA automation, system testing, or storage testing.
Strong programming skills in Python or Perl and familiarity with automation frameworks such as pytest or unittest.
Hands-on experience with Linux/Unix systems and understanding of CI/CD tools like Jenkins or GitHub Actions.
Exposure to storage concepts (SAN/NAS, RAID, file systems) and system-level testing; experience with networking and AI-driven testing is a plus.
Experienced in building and enhancing AI-driven QA automation solutions with a focus on storage and system testing.
Capable of integrating testing frameworks into CI/CD pipelines and applying GenAI or LLMs for test generation and defect analysis.
Comfortable working in hybrid environments collaborating across development teams to deliver scalable, reliable test automation.