The role requires designing, deploying, and operating Apache Kafka in large-scale distributed environments with a focus on broker architecture and schema governance
Job Summary
The role requires designing, deploying, and operating Apache Kafka in large-scale distributed environments with a focus on broker architecture and schema governance.
Candidates must lead the implementation of event-driven use cases and build real-time stream processing applications using frameworks like Flink or Kafka Streams.
The position involves enabling cloud and Kubernetes platforms for streaming workloads, with a preference for GKE environments.
Matching Summary
The role requires designing, deploying, and operating Apache Kafka in large-scale distributed environments with a focus on broker architecture and schema governance.
Skills & Requirements
Must-have
Apache Kafka Platform Architecture
Confluent Cloud deployment
Schema Registry governance
Kafka Connect strategies
Flink or Kafka Streams development
Kubernetes platform enablement
Nice-to-have
Event-Driven Architecture patterns
Spark Streaming experience
Google Dataflow knowledge
Enterprise EDA adoption leadership
Topic naming conventions design
Key Requirements
8 to 25 years of professional experience
Proven expertise in Kafka and Confluent platforms
Strong background in Kubernetes deployment (GKE preferred)