Java Kafka Developer

• Design, develop, and maintain distributed applications using Java and Apache Kafka.
• Build and support Kafka producers, consumers, and stream-processing applications.
• Develop scalable microservices using Spring Boot and REST APIs.
• Design event-driven architectures and implement messaging solutions for real-time data processing.
• Integrate Kafka with various enterprise applications, databases, and external systems.
• Optimize Kafka performance, topic configurations, partitions, and consumer groups.
• Troubleshoot and resolve production issues related to messaging, data flow, and application performance.
• Collaborate with architects, business analysts, QA teams, and DevOps teams throughout the SDLC.
• Participate in code reviews and ensure adherence to coding standards and best practices.
• Contribute to CI/CD implementation and cloud-native application development initiatives.

We are seeking a skilled Java Kafka Developer with 4-7 years of experience in building scalable, high-performance, event-driven applications. The ideal candidate will have strong expertise in Java, Apache Kafka, Microservices, and Spring Boot, with experience designing and implementing real-time data processing solutions in enterprise environments.

The ideal candidate will have strong expertise in Java, Apache Kafka, Microservices, and Spring Boot, with experience designing and implementing real-time data processing solutions in enterprise environments., * Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field., * Core Java

• 4-7 years of hands-on experience in Java development.
• Strong understanding of Core Java, Collections, Multithreading, Concurrency, and JVM concepts.
• Experience with Java 8+ features including Streams, Lambda Expressions, and Functional Programming.
• Apache Kafka
• Strong experience with Apache Kafka development.
• Expertise in Kafka Producers, Consumers, Topics, Partitions, Consumer Groups, and Offset Management.
• Experience implementing event-driven and real-time streaming applications.
• Knowledge of Kafka Streams and Kafka Connect is preferred.
• Experience with Confluent Kafka Platform is a plus.
• Spring Ecosystem
• Strong hands-on experience with Spring Boot.
• Experience developing RESTful APIs and Microservices.
• Knowledge of Spring MVC, Spring Data JPA, and Spring Security.
• Database Skills
• Strong SQL skills and experience with relational databases such as Oracle, PostgreSQL, SQL Server, or MySQL.
• Experience with database design, optimization, and performance tuning.
• Familiarity with NoSQL databases is a plus.
• Cloud & DevOps
• Experience with AWS, Azure, or GCP.
• Familiarity with Docker and Kubernetes.
• Experience with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Knowledge of Git and version control practices.

Preferred Skills

• Experience in Banking, Financial Services, Payments, Healthcare, or Telecom domains.
• Knowledge of distributed systems and event-driven architecture patterns.
• Exposure to monitoring and logging tools such as Splunk, ELK, Grafana, or Prometheus.
• Understanding of messaging systems and integration frameworks.