JAVA FULLSTACK DEVELOPER

JD for Full Stack Developer.

Location:

Experience:

Work Mode:

Notice Period:

Interview mode : only Client round 30 mins -Virtual ---If your submitting the resume candidates need to attend the interview with 48 hours only

🔧 Job Summary:

React.js

💼 Responsibilities:

• Design and develop user interfaces using

  React.js

  with best practices in component-based architecture.
• Build and maintain scalable backend systems using

  Spring Boot

  and

  Microservices

  architecture.
• Implement and manage asynchronous communication between services using

  Apache Kafka

  .
• Develop RESTful APIs and integrate with third-party services.
• Optimize applications for maximum speed, scalability, and responsiveness.
• Ensure data consistency and system resilience using patterns like

  saga

  ,

  retry

  , and

  idempotency

  .
• Collaborate with DevOps teams to implement CI/CD pipelines and deployment automation.
• Monitor application health using tools like

  Spring Boot Actuator

  and logging frameworks.
• Participate in code reviews, unit/integration testing, and performance tuning.

✅ Required Skills:

🔹 Frontend:

• Proficient in

  React.js

  , Hooks, Redux, and functional components.
• Familiarity with performance optimizations like

  React.memo

  ,

  useCallback

  , and

  lazy loading

  .
• Experience with HTML5, CSS3, JavaScript (ES6+), and responsive design frameworks.

🔹 Backend:

• Strong knowledge of

  Java 8+

  ,

  Spring Boot

  , and RESTful API development.
• Experience in

  Microservices architecture

  and inter-service communication.
• Good understanding of

  Spring Security

  ,

  Spring Data JPA

  , and transaction management.

🔹 Messaging and Integration:

• Hands-on experience with

  Apache Kafka

  (producer/consumer, topic configuration, event streaming).
• Understanding of

  event-driven systems

  and asynchronous messaging.

🔹 DevOps & Tools:

• Familiarity with tools like Git, Maven/Gradle, Jenkins, Docker.
• Knowledge of

  caching mechanisms

  (e.g., Redis, Caffeine) and

  monitoring tools

  .