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Tier-1 brand, metro location, and popular backend mid-senior role increase competition.
Backend Java/middleware skills are transferable across industries but banking context and AI specifics add some domain bias.
Explicit 7–12 years and many mandatory technologies plus AI exposure make filters highly strict.
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Lead design, development, and implementation of complex middleware applications using Java, Spring Boot, and AI-powered tools.
Architect and optimize database interactions across Oracle, SQL, and MongoDB with AI-assisted performance and scaling solutions.
Mentor junior engineers and drive AI integration in software development processes, CI/CD pipelines, and strategic technical planning.
7-12 years of relevant experience in applications development with emphasis on AI integration.
Strong proficiency in Core Java (JDK 8+, preferably Java 11/17) and Spring Framework (Spring Boot, MVC, Data JPA, Security).
Experience with Oracle and MongoDB databases, including schema design, query optimization, and performance tuning.
Demonstrable exposure and practical experience with AI development tools (Devin, Copilot, Codex, Claude, Anti Gravity) and AI/ML concepts integration.
Experienced engineer with strong middleware and database architecture skills specializing in Java and Spring Boot environments enhanced by AI technologies.
Strategic thinker able to incorporate AI across software lifecycle from design through deployment, including CI/CD and code reviews.
Mentor-level technical leader with a track record of guiding junior engineers and improving development quality and productivity through AI-driven methodologies.