Back
Tier-1 bank brand and metro location increase applicant density despite senior, specialized requirements.
Strong banking, payments, and regulatory testing focus makes background fit highly industry-specific.
Explicit 10+ years, mandatory AI/test automation and banking domain expertise enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and implement advanced AI-driven test automation frameworks and solutions for corporate banking applications.
Integrate AI/ML techniques like Generative AI, NLP, anomaly detection, and predictive analytics into test automation to optimize test case generation, execution, and defect prediction.
Apply strong expertise in Python, Java, API automation (REST, SOAP, MQ, Kafka), and support shift-left testing in fast-paced banking technology environments with adherence to quality and compliance standards.
8+ years (Associate level) or 10+ years (Assistant VP level) of hands-on experience in software quality assurance and test automation.
Strong proficiency in Python and Java programming languages.
Experience with AI/ML concepts applied to test automation, including Generative AI/LLMs, machine learning frameworks, and anomaly detection algorithms.
Bachelor's or Master's degree in Computer Science, Engineering, or related field from an accredited institution.
Experienced individual contributor capable of independently designing and delivering complex AI-enhanced automation frameworks in banking technology.
Strong domain knowledge of Corporate Banking, Core Banking Systems, Payments, and regulatory/compliance environments with exposure to high-volume, low-latency systems.
Demonstrated ability to integrate AI/ML into test automation at scale, with strategic problem-solving skills and expertise in CI/CD, BDD, TDD, and shift-left testing principles.