Jobs → Engineering → Lead Java Full Stack Developer

About the Role We are looking for an experienced Lead Java Full Stack Developer with expertise in Java, Spring Boot, Microservices, and React.js/Angular. This role focuses on developing enterprise-grade applications, cloud-native solutions, AI/LLM integrations, and implementing application security practices. Key Responsibilities • Design, develop, and maintain enterprise applications using Java 11/17/21, Spring Boot, Spring MVC, Spring Security, and Microservices • Develop responsive frontend applications using React.js, Angular (11+/19), TypeScript, JavaScript, HTML5, and CSS3 • Build and integrate REST APIs, SOAP services, GraphQL, and third-party applications • Identify, analyze, and fix application vulnerabilities using SonarQube, Checkmarx, Fortify, Veracode, and Snyk, following OWASP security practices • Implement secure coding standards and integrate vulnerability scanning and remediation into CI/CD pipelines • Develop and deploy cloud-native solutions using Microsoft Azure and AWS • Work with SQL Server, Oracle, MySQL, MongoDB, and Apache Kafka for database management and event-driven integrations • Implement AI/LLM capabilities using OpenAI, Spring AI, and LangChain4j, including RAG-based solutions and prompt engineering • Work with Docker, Kubernetes, Git, Maven, and Jenkins for build, deployment, and DevOps automation • Develop unit and integration tests using JUnit and Mockito, ensuring application quality, performance, and security • Collaborate with cross-functional teams, participate in code reviews, and follow Agile/Scrum and end-to-end SDLC practices Requirements • 8+ years of experience in Java development • Strong hands-on experience in Java, Spring Boot, Microservices, React.js, and code-level vulnerability identification and remediation • Practical experience fixing security issues throughout the SDLC • Experience with cloud platforms (Microsoft Azure and AWS) • Knowledge of database technologies (SQL Server, Oracle, MySQL, MongoDB, Apache Kafka) • Familiarity with AI/LLM technologies (OpenAI, Spring AI, LangChain4j) • Experience with DevOps tools (Docker, Kubernetes, Git, Maven, Jenkins) • Strong understanding of testing frameworks (JUnit, Mockito)