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Tier-1 brand, popular senior backend role, and metro location increase candidate competition.
Core Java/microservices skills transfer well, but AI exposure and banking context add moderate industry bias.
Explicit 7–12 years and mandatory Java/Spring/DB/CI-CD plus AI exposure create stringent filters.
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Lead design and development of complex middleware applications using Java, Spring Boot, and AI-powered development tools.
Architect and optimize database interactions with Oracle, SQL, and MongoDB leveraging AI for performance and scalability.
Drive AI-enhanced CI/CD pipeline improvements, mentor junior engineers, and contribute to strategic technical roadmap and application lifecycle management.
7-12 years of relevant applications development experience emphasizing AI integration.
Strong proficiency in Core Java (JDK 8+, preferably Java 11/17) and Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security).
Experience with SQL/Oracle and NoSQL/MongoDB database technologies including schema design and query optimization.
Demonstrable exposure to AI development tools (Devin, GitHub Copilot, Claude, Anti Gravity, Codex) and AI/ML concepts; Bachelor's degree or equivalent experience.
Experienced senior developer comfortable integrating AI tools into software engineering and project management workflows.
Depth in middleware architecture, RESTful APIs, microservices, and database performance tuning with a data-driven approach.
Proven ability to lead complex projects involving cross-functional collaboration and mentoring while leveraging AI to optimize development processes.