Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank, metro location, and broad technical plus leadership skillset drive high competition.
Fintech domain (cards, collections, fraud) and enterprise Java/microservices expertise make background fit highly domain-sensitive.
Multiple mandatory senior technical skills and explicit 14+ years experience make shortlisting highly stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and delivery of wealth-lending platforms (Cards, Collections, Fraud Prevention), including core APIs, microservices, and responsive UI/UX web front-ends.
Drive architectural vision and implementation of scalable, event-driven, data-intensive systems ensuring data integrity and high-volume transaction performance.
Manage end-to-end execution across multiple regions, coordinating cross-functional teams, enforcing engineering standards, and integrating AI-driven process automation and testing.
Minimum Requirements
14+ years experience in designing and delivering large-scale, scalable enterprise applications with real-time and batch processing.
Deep expertise in Java (J2EE, Spring, Hibernate), microservices, event-driven architecture, and front-end technologies (HTML5, CSS3, JavaScript/React/Typescript).
Strong knowledge of AI development tools, event streaming platforms (Kafka, Solix), DevOps including Kubernetes and CI/CD pipelines.
Bachelor’s degree required; Master’s preferred. Work Experience Required: 14+ years explicitly mentioned.
Ideal Candidate Profile
Senior technology leader with proven experience managing geographically distributed teams in financial services domain, especially wealth management and lending.
Strategic thinker capable of defining technical strategy and technology roadmaps aligned with business and regulatory requirements for Cards, Collections, Fraud Prevention.
Hands-on architect and coder with demonstrated ability to implement scalable microservices, maintain data governance, and apply advanced AI/ML capabilities for innovative solutions.
