Java Backend

Role & responsibilities

Job Description: Java Backend Developer

Experience:

Job Summary

We are looking for a skilled Java Backend Developer with strong expertise in Java, Spring Boot, Microservices, Apache Kafka, and Data Structures & Algorithms (DSA). The ideal candidate will design, develop, and maintain scalable, high-performance backend applications and distributed systems.

Key Responsibilities

• Design, develop, and maintain backend applications using Java and Spring Boot.
• Build and maintain RESTful APIs and microservices-based applications.
• Implement microservices architecture, including service discovery, API gateways, and inter-service communication.
• Develop event-driven applications using Apache Kafka for real-time data processing and asynchronous communication.
• Apply strong Data Structures & Algorithms concepts to build efficient and optimized solutions.
• Work with relational and NoSQL databases for data storage and retrieval.
• Write clean, reusable, maintainable, and testable code following industry best practices.
• Implement exception handling, logging, security, and performance optimization.
• Troubleshoot production issues and improve application reliability and scalability.
• Collaborate with cross-functional teams in an Agile development environment.
• Participate in code reviews, technical discussions, and application deployments.

Required Technical Skills

• Programming Language:

  Core Java, Java 8+, OOP, Collections Framework, Multithreading, Exception Handling, Streams, and Lambda Expressions.

• Frameworks:

  Spring Boot, Spring MVC, Spring Security, Spring Data JPA, and Hibernate.

• Microservices:

  REST APIs, service communication, API Gateway, service discovery, distributed systems, and fault tolerance.

• Messaging:

  Apache Kafka, producers, consumers, topics, partitions, consumer groups, offsets, and message delivery semantics.

• DSA:

  Arrays, Strings, Linked Lists, Stacks, Queues, Trees, Graphs, Hashing, Sorting, Searching, Recursion, Dynamic Programming, and Time & Space Complexity.

• Databases:

  SQL, MySQL/PostgreSQL, indexing, joins, query optimization, and basic NoSQL knowledge.

• Testing:

  JUnit, Mockito, unit testing, and integration testing.

• Tools:

  Git, Maven/Gradle, Docker, Jenkins, Postman, and CI/CD.

• Cloud & Monitoring:

  Basic knowledge of AWS/Azure, Kubernetes, application monitoring, and centralized logging is desirable.