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Tier-1 brand, popular automation role, and metro location increase applicant density.
Requires deep banking, payments, and core banking experience, reducing cross-industry transferability.
Explicit senior years, AI/ML and banking domain expertise make filters highly stringent.
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Design, develop, and implement AI-driven test automation frameworks for corporate banking systems including API and server-side automation.
Integrate AI/ML techniques such as generative AI, NLP, anomaly detection, and self-healing automation into test processes to optimize test case generation, execution, and defect prediction.
Collaborate with cross-functional teams to embed automation early in SDLC, ensure quality and risk management compliance, and deliver impactful technical solutions independently without management responsibilities.
8+ years (Associate level) or 10+ years (AVP level) of hands-on software quality assurance and test automation experience.
Strong proficiency in Python and Java, with demonstrated experience in API automation (REST, SOAP, MQ, Kafka) and AI/ML application in test automation.
Bachelor's or Master's degree in Computer Science, Engineering, or related field from an accredited institution.
Work Experience Required: Minimum 8 years for Associate level; 10+ years for Assistant Vice President level, including at least 2 years practical experience with AI/ML in test automation.
Experienced in corporate banking technology with deep domain expertise in core banking, payments, and financial systems automation.
Capable of independently driving complex AI test automation projects with strategic and architectural input, leveraging advanced AI/ML techniques and automation frameworks.
Demonstrates strong problem-solving skills, stakeholder communication ability, and proficiency in integrating automation within CI/CD pipelines and shift-left testing environments.