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. Desired Competencies
(Technical/Behavioral Competency) Must-Have 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.

📌 Kafka Developer (Victoria)
🏢 The HR Ally
📍 Victoria