Purpose of the RoleManage, configure, and optimize the Apache Kafka platform, ensuring its availability, security, performance, and proper integration with the organization’s various systems. The role will be responsible for executing the migration from ZooKeeper to KRaft, implementing security mechanisms, strengthening the high availability of the Schema Registry, and configuring connectors for Kafka’s integration with platforms such as Teradata, MQ, and HDFS.
Adecuado Candidate ProfileProfessional or technologist with a degree in Systems Engineering, Software Engineering, Computer Science, Telecommunications, or related fields. An analytical, organized individual focused on solving technical problems. Ability to manage distributed platforms and high-availability environments. Focus on the stability, security, and performance of solutions. Ability to work effectively with development, architecture, infrastructure, and security teams.
Required Experience and Knowledge
- Experience working with Apache Kafka and the Confluent Kafka Platform.
- Experience in administering, configuring,



maintaining, and monitoring Kafka clusters.
- Knowledge of KSQL (ksqlDB).
- Experience developing or administering solutions with Kafka Streams (KStreams).
- Knowledge of implementing and configuring the Kafka REST Proxy.
- Experience or solid knowledge of migrating from ZooKeeper to KRaft.
- Experience implementing security mechanisms using SASL and OAuthBearer.
- Knowledge of configuring, enabling, and optimizing high availability for Schema Registry.
- Experience working with Teradata TPT.
- Knowledge of configuring and integrating the MQ Connector.
- Experience with Teradata Connector.
- Knowledge of implementing and administering the HDFS 3 Connector.
- Experience diagnosing and troubleshooting issues related to performance, availability, and connectivity in Kafka.
- Knowledge of event-driven architectures, real-time data processing, and distributed systems.

Key Responsibilities
- Adm

📌 Kafka Specialist (Ciudad de México)
🏢 Lite Thinking
📍 Ciudad de México