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Tier-1 brand, metro location, and broad backend role increase applicant competition.
Enterprise Java skills transferable, but VP banking context increases preference for finance-domain experience.
Explicit 10–14 years, VP seniority, mandatory Java/Spring Boot and leadership make filters stringent.
Lead design, development, and delivery of scalable Java-based reporting and analytics solutions for a greenfield project, including build-vs-buy analysis and POCs.
Architect solutions using Java, Angular, and related technologies, following SDLC best practices, and drive adoption of GenAI and AI-assisted development across design, coding, review, and testing.
Mentor engineering talent, manage stakeholder communication, proactively address project risks, and promote agile methodologies, automated testing, and CI/CD practices.
10–14 years of software engineering experience with strong expertise in Java (Spring Boot, REST APIs).
Experience delivering enterprise-scale applications and leading high-performing teams in a global environment.
Working knowledge of additional languages/frameworks such as Python and SQL.
Practical experience applying GenAI/AI tools in development, testing, or automation.
Experienced technical leader capable of architecting complex Java applications and scalable reporting/analytics platforms in financial services.
Demonstrated ability to drive innovation through GenAI and AI-assisted development tools within enterprise software projects.
Skilled in stakeholder management and mentoring teams while enforcing agile, CI/CD, and automated testing best practices.