Job Summary:
Responsibilities
- Design and develop robust, scalable, and high-performance backend applications using Java 17+ and modern frameworks.
- Build and maintain RESTful APIs and microservices using Spring Boot 3.3.x, ensuring reliability, security, and performance.
- Implement data persistence and complex queries using JPA with relational or NoSQL databases.
- Utilize Docker to containerize backend services for consistent deployment in cloud-native environments.
- Collaborate with front-end teams to support seamless API integration and ensure end-to-end functionality.
- Implement event-driven architectures and work with Kafka and MQ for real-time messaging and event management.
- Design and develop responsive, high-performance web applications using Angular.
- Use Git for version control and participate in CI/CD pipelines for automated deployment.
- Provide guidance and mentorship to development teams, ensuring adherence to architectural standards and best practices.
Required Skills
- Deep Java expertise: Strong proficiency in Java programming language, including its core concepts, frameworks, and libraries.
- Software architecture principles: Solid understanding of architectural patterns, design principles, and best practices.
- Hands‑on development experience: Proven experience in developing and implementing Java-based applications.
- Strong hands‑on experience with Java 17, Spring Boot, and JPA.
- Experience with Angular 17+ and front‑end integration.
- Ability to design and develop robust, scalable backend applications.
- Working knowledge of at least one database (e.g., MySQL, PostgreSQL, MongoDB, Oracle).
- Experience with Git and CI/CD tools (e.g., GitHub Actions).
- Database knowledge: Experience with relational databases and ORM frameworks like Hibernate or JPA.
- API development: Experience with building and consuming APIs (REST, SOAP).
- Testing and debugging: Proficiency in unit testing, integration testing, and debugging Java code.
- Cloud technologies: Experience with cloud platforms like AWS, Azure, or Google Cloud is often required.