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Tier-1 brand, mid-level popular title, metro location and broad skillset increase applicant competition.
Core Java microservices skills transfer across industries, but banking security and responsible AI needs increase domain specificity.
Multiple mandatory technologies and explicit 3+ years experience make screening stringent.
Design, develop, and deliver secure, scalable Java-based solutions using Spring Boot, Microservices, and APIs.
Leverage enterprise-authorized AI coding assist tools to improve code quality, productivity, and delivery speed across complex projects.
Produce architecture and design artifacts ensuring design constraints are met and contribute to team effectiveness through reusable patterns and AI integration.
3+ years of applied software engineering experience with formal training or certification.
Advanced Java development skills including OO design, concurrency, performance, debugging, and hands-on experience with Spring Boot and related frameworks (REST APIs, Security, JPA).
Experience using AI-assisted development tools (e.g., Copilot/Claude Code) to accelerate delivery with validated quality, security, and test coverage.
Practical knowledge of Software Development Life Cycle, Kubernetes, CI/CD, application resiliency, security, and experience developing AI agents/LLM-enabled workflows with safe handling of sensitive data.
Experienced in delivering complex, secure, high-quality code in large corporate environments with multiple technologies including Java, Microservices, Kafka, Elasticsearch.
Skilled in integrating AI and LLM technologies responsibly into software engineering workflows, ensuring security, correctness, and performance of AI-generated outputs.
Able to work in agile teams developing production-grade systems with strong emphasis on automation, testing, resiliency, and secure coding practices.