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Tier-1 brand and metro location, but senior specialized role reduces applicant density.
Requires deep applied AI and enterprise Java experience in Investment Banking, limiting cross-industry transferability.
Explicit 15-year minimum and mandatory Java, AI-tool, database, and CI/CD expertise.
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Lead design, development, and implementation of AI-driven middleware applications (Java, Spring Boot) for Investment Banking products (ECM, DCM, M&A).
Architect and optimize Oracle, SQL, and MongoDB database interactions with AI-assisted performance tuning.
Drive AI-enhanced CI/CD pipeline improvements, mentor junior engineers using AI tools, and contribute to technical roadmaps leveraging AI analytics.
15 years of relevant experience in applications development or systems design roles.
Strong proficiency in Core Java (JDK 8+; preferably Java 11/17) and Spring Framework (Boot, MVC, Data JPA, Security).
Experience with RESTful APIs, microservices, Oracle and MongoDB databases, and CI/CD tools (Jenkins, GitLab CI, Docker, Kubernetes).
Demonstrable practical experience with AI development tools (Devin, GitHub Copilot, Claude, Anti Gravity, Codex) and AI/ML concepts.
Deep technical expertise with ability to independently solve complex problems and define technical direction in Investment Banking technology.
Experience integrating AI into software development workflows to enhance productivity and quality.
Capable of mentoring engineers hands-on without direct management, contributing strategic AI-driven technology roadmaps and risk-aware solutions.