Job Description
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Key Responsibilities
• Manage Kafka cluster lifecycle: provisioning, configuration tuning, upgrades, and decommissioning
• Deploy, operate, and maintain Kafka on Kubernetes using Confluent for Kubernetes (CFK)
• Monitor cluster health and set up alerting across consumer lag, broker health, and topic throughput
• Design and operate disaster recovery and multi-region replication strategies
• Enforce Kafka security policies including access reviews and ACL management
• Troubleshoot performance bottlenecks, consumer lag issues, and broker failures Must Have
• 8+ years in messaging/streaming platform engineering, with 5+ years on Apache Kafka platform engineering
• Hands-on administration of self-managed on-premises Kafka clusters in KRaft mode
• Confluent for Kubernetes (CFK): operator management and custom resource configuration
• Kafka Connect: connector lifecycle, SMTs,



and error handling
• Confluent Schema Registry; schema evolution and compatibility modes
• Kafka security: TLS/mTLS, SASL, and ACL configuration and troubleshooting
• Proficiency in Java or Scala; Python for scripting and tooling
• Observability: Prometheus, Grafana, and OpenTelemetry Valuable to Have
• Apache Flink for complex event processing beyond Kafka Streams
• CDC pipelines into Kafka
• Operational experience with Mirror Maker 2 or Confluent Replicator in multi-DC setups
• Knowledge of event-driven architecture or data mesh principles
• Build and maintain infrastructure-as-code for Kafka resources
• Integrate Kafka platform changes with CI/CD pipelines for topic and schema deployments

📌 Senior Software Engineer (India)
🏢 wissen technology
📍 India