Senior Java Full Stack Engineer

As a highly skilled Senior Java Full Stack Developer with 5+ years of experience, you will be responsible for designing, building, and scaling complex applications. Coming from a startup background, you will handle high-volume data, architect scalable applications, and migrate monolithic systems to microservices. Your key role will involve owning architecture, design, coding, and deployment while ensuring high performance, scalability, and maintainability. Key Responsibilities: - Architect, design, and develop end-to-end solutions using Java (18+) and modern frameworks. - Lead migration from monolithic to microservices architecture. - Build scalable backend systems capable of handling large data volumes efficiently. - Develop and integrate RESTful APIs and third-party services. - Implement event-driven systems using Kafka and AWS SQS. - Collaborate with cross-functional teams to deliver new features and product improvements. - Implement and maintain CI/CD pipelines using GitHub Actions or Jenkins. Technical Skills: Backend: - Java (18+), J2EE, Spring Boot / Spring Data / Spring Batch - Microservices architecture, REST APIs, Event-Driven Development - Hibernate (JPA), PostgreSQL - MongoDB or other NoSQL databases - Kafka, AWS SQS (or equivalent message queues) - Strong understanding of multithreading, concurrency, and asynchronous programming DevOps & Tools: - CI/CD using GitHub Actions, Jenkins, Maven - Experience with Docker and Kubernetes (preferred) - Testing frameworks: JUnit, Mockito, Testcontainers Frontend (Preferred): - Proficiency in React.js, Angular, or Vue.js - Strong understanding of JavaScript/TypeScript, HTML5, and CSS3 Other: - Familiarity with cloud platforms (AWS, GCP, or Azure) - Experience in monitoring, logging, and performance optimization Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or related field. - 5+ years of hands-on experience in full-stack development. - Proven experience in a startup environment or product-based organization. - Strong problem-solving, analytical, and architectural skills. - Excellent communication and collaboration abilities. Nice to Have: - Experience with Kubernetes, ElasticSearch, Redis, or GraphQL. - Exposure to AI/ML, data streaming, or real-time analytics.,