Job
Description
As a Backend Engineer at Droisys, you will be a part of a dynamic and innovative engineering team working on cutting-edge products that push the boundaries of technology. Your role will involve collaborating closely with development leads, product managers, and global stakeholders to deliver high-quality, scalable, and reliable software solutions that have a real business impact. **Key Responsibilities:** - Design, develop, and maintain high-performance Java applications in an agile environment. - Translate complex business requirements/user stories into efficient technical solutions. - Write clean, testable, maintainable, and modular code following best practices. - Build and maintain RESTful APIs and microservices using Spring Boot. - Work with Kafka, WebSockets, JPA/Hibernate, and distributed system components. - Participate in code reviews, design discussions, and refactoring activities. - Implement unit, integration, and system tests to ensure application reliability. - Provide Level 3 production support and resolve critical issues when needed. - Maintain technical documentation and contribute to knowledge-sharing across the team. - Collaborate seamlessly with onshore and offshore team members globally. **Qualifications Required:** - Hands-on experience in Java development. - Strong proficiency in Java 17, object-oriented design, and data structures & algorithms. - Expertise in Spring Boot, REST APIs, microservices architecture, and WebSockets. - Hands-on experience with Apache Kafka, Zookeeper, and PostgreSQL. - Extensive knowledge of JPA/Hibernate, YAML, and API documentation tools (Swagger/OpenAPI). - Experience with multithreading, debugging complex issues, and performance tuning. - Familiarity with Linux environments and scripting. - Basic knowledge of Python for automation is a strong plus. - Proficiency with CI/CD and build tools: Maven, Git, Jenkins. - Strong problem-solving skills, communication, teamwork, and analytical thinking. **Preferred / Nice-to-Have Skills:** - Experience with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP). - Knowledge of Reactive Programming (Project Reactor, RxJava). - Strong understanding of DevOps concepts and pipeline automation. - Experience implementing security best practices, OAuth2, JWT. - Exposure to distributed systems, scalability challenges, and advanced performance optimization. As a Backend Engineer at Droisys, you will be a part of a dynamic and innovative engineering team working on cutting-edge products that push the boundaries of technology. Your role will involve collaborating closely with development leads, product managers, and global stakeholders to deliver high-quality, scalable, and reliable software solutions that have a real business impact. **Key Responsibilities:** - Design, develop, and maintain high-performance Java applications in an agile environment. - Translate complex business requirements/user stories into efficient technical solutions. - Write clean, testable, maintainable, and modular code following best practices. - Build and maintain RESTful APIs and microservices using Spring Boot. - Work with Kafka, WebSockets, JPA/Hibernate, and distributed system components. - Participate in code reviews, design discussions, and refactoring activities. - Implement unit, integration, and system tests to ensure application reliability. - Provide Level 3 production support and resolve critical issues when needed. - Maintain technical documentation and contribute to knowledge-sharing across the team. - Collaborate seamlessly with onshore and offshore team members globally. **Qualifications Required:** - Hands-on experience in Java development. - Strong proficiency in Java 17, object-oriented design, and data structures & algorithms. - Expertise in Spring Boot, REST APIs, microservices architecture, and WebSockets. - Hands-on experience with Apache Kafka, Zookeeper, and PostgreSQL. - Extensive knowledge of JPA/Hibernate, YAML, and API documentation tools (Swagger/OpenAPI). - Experience with multithreading, debugging complex issues, and performance tuning. - Familiarity with Linux environments and scripting. - Basic knowledge of Python for automation is a strong plus. - Proficiency with CI/CD and build tools: Maven, Git, Jenkins. - Strong problem-solving skills, communication, teamwork, and analytical thinking. **Preferred / Nice-to-Have Skills:** - Experience with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP). - Knowledge of Reactive Programming (Project Reactor, RxJava). - Strong understanding of DevOps concepts and pipeline automation. - Experience implementing security best practices, OAuth2, JWT. - Exposure to distributed systems, scalability challenges, and advanced performance optimization.
