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Tier-1 brand, mid-level generalist fullstack title, metro context, and broad skillset raise competition.
Core Java/React fullstack skills transfer across industries, though finance domain knowledge is advantageous.
Explicit 3+ years plus mandatory Java, React, cloud and AI-assisted tool experience creates strict filters.
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Design, develop, test, and support Public Finance DCM / Research / Trading applications using Java full stack technologies and AI-powered development tools.
Lead AI-based modernization efforts to refactor workflows, optimize code, and improve data analytics quality.
Design and implement scalable, resilient, and secure platforms spanning on-premises and cloud-native AWS services; maintain and enhance data pipelines; provide application support including troubleshooting and root-cause analysis.
3+ years of software engineering experience with formal training or certification.
Bachelor's or Master's degree in Computer Science, Math, Engineering, or equivalent.
Strong hands-on experience in Java/J2EE, Spring framework (Spring Boot, Microservices, MVC), and UI development using React or equivalent.
Experience using enterprise-authorized AI-assisted software development tools with ability to validate AI-generated outputs for correctness, performance, and security.
Experienced in production system development and support with strong debugging and problem-solving skills.
Familiar with responsible AI use in engineering workflows, including data sensitivity and secure coding standards.
Knowledgeable in hybrid architectures (on-prem/AWS), data pipeline orchestration, and software engineering best practices including CI/CD, observability, and performance tuning.