- Lead event-driven use case design and implementation, collaborating with domain and application teams.
- Design and build stream processing applications using Flink, Kafka Streams (KStreams) or equivalent frameworks (Spark Streaming, Google Dataflow, etc.).
- Support real-time data processing, enrichment, aggregation, and stateful streaming use cases.
Cloud & Kubernetes Platform Enablement
- Deploy and manage Kafka and streaming workloads on Kubernetes (GKE preferred; AKS/EKS acceptable).