Java Backend Developer

Job Title: Java Backend Developer Location: Newark,NJ (Onsite) Job Type: Fulltime Position Role Summary 4+Years We are looking for a Java Backend Developer to join a product engineering team. The engineer will design and build backend services and APIs using modern Java technologies and AI-assisted development practices. The role requires strong hands-on engineering skills and the ability to use AI coding assistants effectively for development, testing, debugging, documentation, and code modernization without compromising engineering standards. Key Responsibilities Design and develop backend services using Java and Spring Boot. Build and maintain REST APIs and microservices. Translate product requirements into technical designs and working software. Use AI-assisted development tools, such as GitHub Copilot or equivalent, as part of day-to-day engineering. Apply AI assistance for: Code generation and refactoring Unit and integration test generation Code comprehension and documentation Debugging and root-cause analysis API development and boilerplate reduction Legacy code analysis and modernization Review and validate AI-generated code for correctness, security, maintainability, and performance. Develop automated unit and integration tests. Integrate applications with APIs, databases, and messaging platforms. Participate in architecture, design, backlog refinement, and code reviews. Troubleshoot application, integration, and production issues. Mentor engineers on Java engineering and effective AI-assisted development practices. Own features from technical design through production deployment. Required Skills 5+ years of Java/backend development experience. Strong hands-on experience with Java 11/17+. Strong experience with Spring Boot and Spring Framework. Experience building RESTful APIs and microservices. Strong understanding of object-oriented design, design patterns, and clean-code practices. Experience with SQL and relational databases. Experience with JUnit, Mockito, or similar testing frameworks. Experience with Git and CI/CD pipelines. Practical experience using AI coding assistants as part of software development. Ability to critically review AI-generated code rather than accepting generated output without validation. Strong debugging and production troubleshooting skills. Understanding of application security, authentication, authorization, exception handling, and API security. Preferred Skills GitHub Copilot or similar AI development tools. Prompting techniques for software engineering tasks. AI-assisted test generation and code review. Kafka or other event-driven/messaging platforms. Docker and Kubernetes. AWS, Azure, or other cloud platforms. Observability and application monitoring. Experience with high-volume, transaction-oriented systems. Financial services, fintech, securities processing, or wealth-management experience.