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Strong employer brand, remote flexibility, mid-level generalist QA title, and 5-year experience range increase candidate competition.
QA automation skills are transferable but clinical/regulatory and AI-testing focus raises domain specificity.
Explicit 5+ years and mandatory automation tools and domain QA experience enforce strict filtering.
Architect and develop scalable test automation strategies and frameworks for a microservices-based platform with AI-enhanced test design and analysis.
Define test strategies by reviewing requirements and specifications, overseeing manual and automated testing across functional to end-to-end levels.
Lead troubleshooting of complex failures, maintain test deliverables, and provide technical guidance to junior engineers, collaborating cross-functionally to improve software quality.
Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).
Minimum 5 years of experience in software quality engineering or software testing.
Proficiency in JavaScript, SQL, and automation tools such as Selenium, Katalon, or Playwright.
Practical knowledge of AI-assisted software testing and experience with microservices-based architectures and Agile/DevOps practices.
Experienced in leading test automation design and implementation with measurable improvements in coverage and maintenance using AI techniques.
Comfortable working across cross-functional teams including Product Management, Development, and DevOps to resolve quality issues and influence testing strategy.
Demonstrated capability mentoring junior engineers and driving continuous improvement of automation tools and quality processes for enterprise clinical trial technology.