Full Stack Engineer

Job Description This role is about Designing and building scalable, enterprise-grade full stack applications, leveraging modern technologies and GenAI to accelerate development, improve code quality, and enable intelligent, reusable solutions across backend and frontend systems. 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 #J-18808-Ljbffr IntraEdge