• Design and architect robust, end-to-end streaming solutions. Define patterns and best practices for topic design, data partitioning, schema management, and fault tolerance.  

• Act as a hands-on backend engineer, developing and maintaining Kafka-native applications and microservices using Java and Spring Boot (specifically Spring for Apache Kafka). Implement custom producers, consumers, and stream processors.  

• Proactively monitor the Kafka cluster's health and performance. Lead efforts to identify and resolve bottlenecks, fine-tune broker configurations, and optimize client applications for throughput and latency.  

• Manage and configure the complete Kafka ecosystem, including Kafka Connect for data integration, Schema Registry for data governance, and other streaming components.  

• Establish and enforce best practices for Kafka usage across all engineering teams. Create documentation, provide guidance, and mentor other developers on building efficient and reliable streaming applications.  

• Implement and manage comprehensive monitoring, logging, and alerting for the Kafka infrastructure to ensure operational excellence and rapid issue resolution. 

Please click APPLY to submit your CV

The interview sessions will be held during the ITB Career Days on October 31 – November 1, 2025.