Kafka

• Provide deep technical expertise across the Kafka ecosystem, including brokers,

ZooKeeper/KRaft, Kafka Connect and Schema Registry.

• Deploy and operate Kafka components on container platforms, with hands-on Kubernetes

experience (e.g., scaling, upgrades, configuration and troubleshooting).

• Administer and operate the Kafka platform end-to-end, including provisioning of Topics and

Role-bindings.

• Configure, deploy and maintain Kafka connectors, including MQ, Splunk, MongoDB, GCP Pub

sub, as well as Connect components such as workers, tasks, converters and SMTs

(transforms).

• Implement monitoring and alerting to ensure platform observability and resilience.

• Automate operational and maintenance activities using scripting and automation tools.

• Perform benchmarking, performance analysis and tuning to ensure scalable and efficient

data streaming.

• Lead root cause analysis for production incidents, document findings and drive preventative

improvements to enhance reliability.

• Must be able to communicate on technical levels with Engineers and stakeholders.

• Strong problem solving and analytical skills

• Thorough understanding of the Kafka Architecture

• Familiar with cluster maintenance processes and implementing changes and recommended

fixes to Kafka clusters and topics to protect production.

• Experience operating in an infrastructure as code and automation first principles

Environment

Messaging technologies –Apache Kafka, Confluent Kafka

DevOps toolsets – GitHub, JIRA, Confluence, Jenkins