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Medium — metro location and broad automation skills raise competition; seniority and niche AI-SDET reduce it.
Medium — test automation and coding are transferable, but AI and financial data specifics reduce portability.
High — explicit 7+ years requirement plus mandatory Python/Java and AI/data validation expertise.
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Develop and design AI-enabled engineering solutions for complex data validation challenges.
Write code in Python and/or Java to maintain high-quality data integrity in critical applications.
Design and implement automation frameworks to test data dimensions across complex, big data environments.
7+ years of experience in quality engineering.
Proficiency in Python and Java programming.
Experience in day-to-day development of data-critical applications with active AI use.
This is a technical role; managerial experience is not required.
Strong experience with AI-driven quality engineering approaches in data-critical environments.
Comfortable developing bespoke automation frameworks beyond traditional Selenium-based tools.
Capable of handling complex data validation and integrity challenges within large-scale systems.