Kafka / Integration Engineer

Role & responsibilities Design, develop, and manage Kafka topics, partitions, schemas, and related configurations. Build and maintain Kafka producers/consumers, connectors, and streaming applications. Manage Kafka clusters, monitoring performance, throughput, and availability. Implement Kafka Connect (source/sink connectors) and Schema Registry Implement event-driven architecture (EDA) and integration design patterns. Ensure high availability, scalability, and fault tolerance across integration systems. Set up monitoring, logging, and alerting for Kafka & integration platforms (e.g., Prometheus, Grafana, Splunk, ELK). Collaborate with architecture, DevOps, and application teams for end-to-end delivery. Develop and maintain integration flows using messaging systems (Kafka, MQ, JMS, etc.). Implement enterprise API integrations, web services (REST/SOAP), and microservice communication patterns. Work with integration tools/frameworks such as Spring Integration, Apache Camel, MuleSoft, or similar. Troubleshoot and optimize distributed system performance issues. Preferred candidate profile 3-6 years hands-on experience with Apache Kafka (brokers, producers, consumers, Connect, Streams). Strong knowledge of Kafka internals, partitions, replication, retention and consumer groups. Experience with Java / Spring Boot, or Python for building integration services. Solid understanding of integration patterns, message queues, and microservices. Experience with REST APIs, JSON, XML, and data serialization formats (Avro/Protobuf). Experience with Linux, shell scripting, and system troubleshooting. Familiarity with Git, CI/CD tools (Jenkins, GitLab, Azure DevOps, etc.). .