At the core of our architecture in PayPay, we use Kafka for high-performance data streaming, and every payment that goes through the app is handled by multiple topics in Kafka. To keep up with the challenges of our growing product and future expansion, we are expanding our Streaming Platform team and are looking for an engineer with deep experience in Kafka to help lead the next stage. The role involves strengthening our existing platform to bring a truly event-driven architecture to our development process, while adding performance and resilience to the existing application.
A key part of our current roadmap includes migrating our self-hosted Kafka clusters to KRaft mode and operating Kafka both in self-managed form and via AWS MSK. We are looking for someone who is not only hands-on with Kafka internals, but also confident operating it at scale in production environments. This is a senior role but still very hands-on , an excellent opportunity to build and modernize the streaming infrastructure that powers payments for over 69 million users.