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Experience: 8+ years (including 5+ years hands-on with Apache Kafka platform engineering)

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

📌 Kafka Platform Engineer (Pune)
🏢 wissen technology
📍 Pune