Role: Kafka Developer
Location: Melbourne, VIC
Experience: 8+ years
Job Description
Develop custom integration code using Java / Spring Boot for source system connectivity where managed connectors are not applicable.
Build and maintain Kafka producers / consumers, topic integration logic, and event-driven services on Confluent Cloud / NGIP.
Develop and maintain Flink SQL / stream processing logic for transformation, enrichment, validation, routing, and de-duplication.
Implement integration with Schema Registry, topic schemas, and message validation controls.
Support HTTP/API-based integrations through Kong Gateway for NGIP to target application communication.
Configure and support HTTP Sink delivery patterns, payload mapping, retries, and failure handling.
Perform unit / component testing for custom code, Flink jobs, and interface logic.
Support SIT, pipeline testing, defect fixing, replay, and root-cause analysis during test execution.




Support E2E testing with downstream teams and resolve integration issues across connectors, transformations, APIs, and Kafka topics.
Work with GitLab CI/CD pipelines for build, deployment, regression automation, and release support.
Skills
Java, Spring Boot
Apache Kafka / Confluent Cloud
Kafka Connect
Flink SQL / stream processing
Schema Registry
REST / API integration
Kong Gateway
GitLab CI/CD
Unit testing, SIT support, E2E support
Positive-to-Have
Confluent Certified Developer/Administrator
Experience with stream governance, RBAC, and tiered storage
Background in data engineering, ETL, or microservices architecture
Familiarity with traditional messaging systems and data warehouses
Experience in Agile methodologies and DevOps practices.
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📌 Kafka Developer Melbourne
🏢 The HR Ally
📍 Melbourne