10-13 years of infrastructure configuration and deployment experience for various data integration platforms like Kafka
Experience in kubernetes application deployment and configuration
Experience in networking, compute, storage and security services in Microsoft Azure Cloud
Support current Kafka component deployment on K8s and integration of on premise and cloud Kafka clients.
Understands complexity in distributed, scalable and highly available deployment configuration for tools like Kubernetes, Confluent Kafka, Kafka REST proxy, KSQL, Kafka Streaming and Kafka Connectors for data source and sinks.
Ability to monitor Kafka components and create proactive alert notifications, monitoring dashboards with necessary metrics (this is to identify issues before they happen)
Experience in troubleshooting end-to-end Kafka deployment – including working with confluent Kafka cloud support, application teams, infrastructure teams, with the help of cloud native logging and monitoring tools
Able to work Independently and collaboratively with different vendors.
Experience in EAI in cloud will be an added value.
Good communication skills, hands-on experience is needed