Java Kafka Developer

1.Core Java Development:

• Proficiency in Java (versions 8 and above), including object-oriented programming (OOP), concurrency, and multi-threading.
• Strong understanding of Java collections and data structures (e.g., Lists, Maps, Sets, Stacks, Queues).
• Familiar with Javas memory management, garbage collection, and JVM tuning for performance optimization.

2. Apache Kafka:

• Expertise in building, configuring, and managing Kafka clusters.
• Experience in producing and consuming messages to/from Kafka topics.
• Understanding of Kafka's consumer groups, partitioning, and offset management.
• Experience with Kafka Streams for real-time data processing and Kafka Connect for integrating with external systems.
• Knowledge of Kafka's role in event-driven architecture and stream processing.

3. Data Structures and Algorithms:

• Proficiency in implementing and optimizing algorithms and data structures for performance (e.g., sorting, searching, graph traversal).
• In-depth understanding of time and space complexity (Big O notation) for algorithm optimization.
• Experience working with different data structures like trees, heaps, graphs, hash tables, and arrays to solve complex problems.

4. Microservices Architecture:

• Strong understanding of designing and building scalable, distributed microservices.
• Experience with Spring Boot for creating microservices.
• Knowledge of RESTful APIs and gRPC for communication between services.
• Experience using tools like Spring Cloud, Docker, and Kubernetes for containerization and orchestration.
• Familiarity with service discovery, load balancing, and resilience patterns (e.g., Circuit Breaker, Retry).
• Experience with database technologies like SQL and NoSQL (e.g., MongoDB, Cassandra).

5. Cloud & DevOps:

• Experience working with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with CI/CD pipelines, Jenkins, GitLab CI, or similar tools for automated deployment.
• Knowledge of monitoring tools like Prometheus, Grafana, or ELK stack (Elasticsearch, Logstash, Kibana).
• Familiarity with infrastructure as code (e.g., Terraform).

6. Testing & Quality Assurance:

• Experience with unit testing frameworks like JUnit, Mockito, or TestNG.
• Familiarity with integration testing in a microservices environment.
• Strong focus on writing clean, maintainable, and efficient code.

7. Version Control:

• Proficient in using Git for version control, including branching and merging strategies.

Example Role Description:

Position

Responsibilities

• Design, develop, and maintain high-performance microservices with a focus on scalability, reliability, and real-time data processing.
• Implement and manage Kafka-based solutions for stream processing, message brokering, and event-driven architectures.
• Develop and optimize algorithms and data structures to ensure high efficiency and performance for distributed systems.
• Collaborate with cross-functional teams to integrate microservices with other systems and databases.
• Write clean, maintainable, and efficient code, ensuring high standards of software engineering best practices.
• Utilize containerization and orchestration tools (Docker, Kubernetes) for deployment and scalability.
• Monitor and troubleshoot performance issues in a production environment.