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Tier-1 brand, metro location, mid-level generalist role, and broad automation/AI skillset increase competition.
Automation leadership skills transfer across industries, but banking/regulatory emphasis raises domain bias.
Explicit 5+ years plus mandatory automation, leadership, and AI-assisted QA requirements make filtering strict.
Own end-to-end QA delivery and governance for programs/releases, including test strategy, automation architecture, and executive reporting.
Lead and mentor QA teams focusing on automation, architecture, and modern AI-assisted quality engineering practices for improved speed and quality.
Drive adoption and governance of AI-assisted testing tools and methods to optimize requirements analysis, test coverage, defect triage, and quality metrics management.
5+ years of applied experience with formal software engineering training or certification.
Proven ability to write automated tests in Java, TypeScript, or Python using Selenium or Playwright.
Expertise in JIRA, ALM tools (QTEST), and CI/CD integration tools like Jenkins.
Working knowledge of AI-assisted testing concepts with emphasis on validation, traceability, and controlled usage.
Experienced in leading QA/test strategy and technical direction across multiple teams with delivery governance experience.
Strong proficiency in implementing AI-assisted software development/testing tools with an emphasis on responsible and secure AI usage.
Comfortable driving modernization of QA practices in complex, regulated environments, ideally with some exposure to finance or banking domain.