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Mid-level automation QA, metro hiring, and broad skillset requirements drive high competition.
QA automation skills are broadly transferable, though AI/ML validation preference raises domain specificity to medium.
Explicit 3-5 years, specific tech stack and degree requirement create high shortlisting strictness.
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Define and evolve automation strategy for web, API, and data validation across Kore.ai products.
Design, implement, and maintain scalable test automation frameworks using Python and open-source tools like Selenium and Behave.
Lead BDD test development and integrate automated tests into CI/CD pipelines (Jenkins, Git) ensuring reliable test coverage and release readiness feedback.
3-5 years of experience in test automation.
Strong hands-on skills in Python, Selenium WebDriver, API testing tools, and BDD frameworks like Cucumber and Behave.
Experience designing test automation strategies for large-scale platforms integrated with CI/CD pipelines (Jenkins, Git).
Bachelor’s degree in Engineering or Master’s in Computer Applications.
Experienced in automation for AI-driven platforms, including AI/ML model inference testing and chatbot workflow validation.
Capable of troubleshooting complex automation issues and mentoring junior engineers.
Familiar with test reporting, defect lifecycle management, and strategic quality initiatives such as test data management and environment stability.