This role is about

• Applications are built with a scalable, API-first architecture using Java, REST, and GraphQL
• Systems are designed to handle large-scale data processing and Big Data querying
• Development is accelerated using GenAI tools for code generation, optimization, and documentation
• Solutions are reusable, modular, and aligned with enterprise-wide standards
• CI/CD pipelines enable continuous integration, deployment, and validation with minimal manual effort
• Systems are designed with performance, security, and maintainability as core principles

Role and Responsibility

• Design and build scalable full stack applications across backend and frontend layers
• Develop and maintain REST APIs and GraphQL services for enterprise use cases
• Build and optimize data-intensive applications using Big Data querying techniques
• Leverage Vert.x or similar reactive frameworks for high-performance, asynchronous systems
• Use GenAI tools (e.g., GitHub Copilot, other AI dev platforms) to accelerate development and improve code quality
• Ensure applications follow software development best practices (clean architecture, design patterns, testing)
• Build modular, reusable components that can be adopted across teams
• Integrate applications with CI/CD pipelines (GitHub Actions, Jenkins, etc.) for continuous delivery
• Collaborate with cross-functional teams (product, architecture, QA) to align with enterprise standards and real user needs
• Analyze existing codebases across teams to identify gaps, standardize approaches, and improve overall system design
• Contribute to improving developer productivity and engineering excellence using AI-driven approaches

Skillset

• Strong hands-on experience in Java development
• Expertise in building REST APIs and GraphQL services
• Experience with Big Data querying and handling large datasets
• Hands-on experience with Vert.x or similar reactive programming frameworks
• Strong understanding of full stack development (backend + UI)
• Experience with frontend technologies (React, Angular, or similar)
• Familiarity with GenAI tools (GitHub Copilot or similar AI-assisted development platforms)
• Experience with CI/CD pipelines (GitHub Actions, Jenkins, etc.)
• Strong knowledge of software design principles, system design, and microservices architecture
• Experience working with distributed systems and scalable architectures
• Understanding of code quality, testing strategies, and performance optimization
• Ability to work across teams and align with enterprise-wide standards

Preferred

• Prior American Express experience
• Experience working in enterprise-scale environments with multiple teams and systems
• Exposure to AI-driven development practices or intelligent engineering workflows