Worked on enhancing Kafka cluster management in the m1a2st/kafka repository by implementing dynamic updates to the Raft voter configuration in KRaft mode. Leveraged Java and Kafka backend development skills to enable runtime changes through the UpdateRaftVoterRequest within the KafkaNetworkChannel, reducing the need for manual reconfiguration and supporting smoother production rollouts. Also developed functionality to promote observer controllers to followers, improving cluster scalability and operational agility. This feature strengthened cluster resilience and failover readiness, addressing production deployment needs. The work focused on runtime configurability and operational efficiency, reflecting a deep understanding of distributed systems and backend engineering principles.