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Tier-1 employer, Bangalore metro and broad skillset create moderate competition.
QA automation skills transfer across industries, but regulated pharma and AI-testing expertise increase domain specificity.
Mandatory 8+ years plus extensive toolchain, AI-testing, cloud, and automation requirements enforce strict filters.
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Own end-to-end quality engineering for Digital Health and patient-facing applications including designing/executing test plans and leading testing across Web, Mobile, API, and AI domains.
Drive test automation framework development, CI/CD pipeline integration, and cloud-based test execution to optimize release quality and accelerate delivery.
Lead quality engineering strategic initiatives including test process improvements, AI-based testing adoption, and mentorship of junior engineers.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
8+ years of Quality Engineering experience in high-tech, life sciences, or related industry.
Hands-on experience with pytest, WebdriverIO, Selenium, Appium, and proficiency in Java, JavaScript, TypeScript, or Python.
Strong knowledge of cloud computing and containerized testing (AWS, Kubernetes, Docker) and Agile/CI-CD tools (GitHub, JIRA).
Experienced leader able to influence cross-functional and global teams on quality engineering and test automation strategy.
Technically strong with advanced skills in AI/ML testing, test framework architecture, and cloud-based testing environments.
Strategic mindset focused on continuous test process improvement, automation ROI, and embedding quality into Agile/DevOps workflows.