Back
Tier-1 bank brand and Pune metro boost interest, but senior niche AI-driven QA reduces density.
Financial services domain knowledge and regulated workflows reduce transferability across industries.
Explicit 9–12 years and mandatory AI-driven QA automation skills make shortlisting highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define and drive end-to-end test automation strategy across batch systems, microservices, APIs, and UI layers, ensuring integration with CI/CD pipelines.
Lead adoption and scaling of AI-driven quality engineering tools and methods for test case generation, test data synthesis, anomaly detection, and predictive defect analysis.
Own release quality, establish automation standards, mentor QA teams, and collaborate with engineering and product stakeholders on quality goals and continuous improvement.
9–12 years of experience in software quality engineering with hands-on expertise in test automation for API, UI, and batch systems.
Proficient in automation frameworks such as Selenium, Playwright, Cypress, RestAssured, Cucumber, TestNG, JUnit, and backend services automation including Kafka, MQ.
Experience with AI/LLM-based testing tools and applying AI techniques to QA workflows.
Location: Pune, India; Corporate Title: Vice President; Work Experience Required: 9–12 years in QA and test automation.
Experienced leader with proven ability to drive large-scale AI-driven quality transformations and influence engineering culture in regulated financial services environments (counterparty risk, security services, CPA/CDA).
Strong technical and engineering mindset focused on quality as a product, combining automation-first with pragmatic AI usage and shift-left testing approaches.
Skilled at cross-functional collaboration with engineering, product, and business teams to align quality goals with delivery and risk management.