Spring Boot Kafka Software Engineer
4 days ago
Job Title : Spring Boot Kafka Software Engineer
Description :
We are seeking an experienced Spring Boot Kafka Software Engineer with a strong background in the banking domain to join our dynamic team. As a key member of our team, you will play a pivotal role in designing, developing, and maintaining robust and scalable applications using Spring Boot and Kafka technologies. Your expertise in the banking industry will be invaluable as you contribute to innovative solutions that drive our business forward.
Responsibilities :
- Design, develop, and maintain high-quality Spring Boot applications using best practices and industry standards.
- Implement and optimize Kafka-based messaging systems for real-time data processing and event-driven architectures.
- Collaborate with architects, analysts, and other team members to understand business requirements and translate them into technical solutions.
- Develop and maintain RESTful APIs for integration with other systems.
- Write clean, efficient, and well-documented code that adheres to coding standards and best practices.
- Conduct unit testing and code reviews to ensure code quality and maintainability.
- Troubleshoot and resolve technical issues in a timely manner.
- Stay updated with the latest trends and technologies in the Spring Boot and Kafka ecosystem.
Required Skills and Qualifications :
- Strong proficiency in Java programming language and Spring Boot framework.
- In-depth understanding of Kafka concepts, including topics, partitions, producers, consumers, and Kafka Streams.
- Experience with microservices architecture and containerization technologies (e.g., Docker, Kubernetes).
- Familiarity with RESTful API design and development.
- Experience working in a banking domain, preferably with knowledge of financial regulations and compliance standards.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.
Preferred Skills :
- Experience with cloud platforms (e.g., AWS, GCP, Azure).
- Knowledge of NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with CI/CD pipelines and DevOps practices.
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