Java Spring Boot AWS Kafka

Responsibilities:

• Design, develop, and maintain high-performance, scalable, and resilient microservices using Java and Spring Boot.

• Implement and optimize event-driven architectures utilizing Apache Kafka for real-time data streaming and asynchronous communication.

• Develop Kafka producers and consumers for efficient message handling, including partitioning, consumer group management, and error handling.

• Design and implement RESTful APIs for seamless communication between microservices.

• Collaborate with cross-functional teams (front-end developers, QA, DevOps) to ensure successful integration and deployment of microservices.

• Containerize microservices using Docker and orchestrate deployments in platforms like Kubernetes (e.g., EKS).

• Implement and maintain CI/CD pipelines for automated builds, tests, and deployments.

• Monitor and optimize the performance, resource utilization, and reliability of microservices and Kafka components.

• Troubleshoot and resolve issues related to microservices, Kafka pipelines, and associated infrastructure.

• Ensure adherence to best practices in coding, testing (unit, integration), and design patterns.

• Create and maintain comprehensive technical documentation for microservices, Kafka configurations, and architectural designs.

Required Experience:

• Proven experience in Java development, with a strong focus on Spring Boot and microservices architecture.

• Hands-on experience with Apache Kafka, including developing producers, consumers, and understanding its ecosystem.

• Experience with building and consuming RESTful APIs.

• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.

• Experience with cloud platforms mainly in AWS is preferred.

• Knowledge of database technologies (SQL and NoSQL).

• Understanding of software development methodologies (Agile/Scrum).

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration abilities.

• Ability to work independently and manage multiple tasks in a fast-paced environment.