Java Full Stack Developer

Role & Responsibilities

• Design, develop, test, deploy, and maintain enterprise-grade applications using Java, Spring Boot, Python, and REST APIs.
• Build scalable and resilient microservices and distributed applications following HLD/LLD and software engineering best practices.
• Develop production-grade Python applications, automation, APIs, and AI/LLM integrations.
• Develop and integrate AI-powered solutions using frameworks/tools such as LangChain, Spring AI, GitHub Copilot, Cursor, Claude Code, or equivalent.
• Use AI-assisted development tools for code generation, unit-test creation, debugging, refactoring, and documentation, while validating AI-generated outputs for correctness, security, and performance.
• Contribute to Full Stack development using React, Angular, or equivalent frontend technologies.
• Design and develop database solutions using SQL, stored procedures, views, indexing, and query optimization.
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or equivalent tools.
• Develop secure applications with appropriate authentication, authorization, data protection, and secure API practices.
• Implement resiliency patterns such as retry, circuit breaker, fault tolerance, scalability, and high availability.
• Work with AWS, Azure, GCP, or equivalent cloud platforms for application deployment and operations.
• Participate in the complete SDLC, including requirements analysis, design, development, testing, deployment, production support, and incident/RCA activities.
• Collaborate with architects, product owners, QA, DevOps, and engineering teams in an Agile/Scrum environment.
• Follow Responsible AI practices, including protection of sensitive data, secure handling of AI inputs/outputs, validation of AI-generated results, and safe enterprise usage of AI tools.
• Support and guide team members on effective and responsible AI-assisted software development.

Preferred Candidate Profile

• 37 years of hands-on software engineering experience in a large enterprise/corporate environment.
• Strong Java 8+ / Spring Boot / REST API / Microservices development experience.
• Minimum 2+ years of production-grade Python development experience.
• Minimum 2+ years of hands-on AI frameworks/tools such as LangChain, LangGraph, Spring AI, GitHub Copilot, Cursor, Claude Code, OpenAI APIs, or equivalent.
• Strong Full Stack experience with React, Angular, or equivalent.
• Strong knowledge of SQL, stored procedures, views, database optimization, and relational databases.
• Experience with CI/CD, Git, Docker, Kubernetes, and cloud platforms such as AWS/Azure/GCP.
• Strong understanding of system design, distributed systems, scalability, resiliency, security, and production operations.
• Experience working with enterprise-scale applications and complex production environments.
• Demonstrated experience using enterprise-authorized AI coding assistants for development, testing, troubleshooting, refactoring, and documentation.
• Ability to critically evaluate and validate AI-generated code and outputs for correctness, performance, security, and reliability.
• Strong understanding of Responsible AI, data privacy, secure AI usage, and AI governance.
• Banking, Payments, CIB, FinTech, or highly regulated financial-services experience is highly preferred.
• Exposure to ML/AI platforms, RAG, LLM applications, agentic AI, or data platforms is an advantage.
• Strong communication, problem-solving, collaboration, and ownership skills.