Kafka SRE

Join a global engineering environment focused on building, maintaining, and optimising a reliable and scalable Kafka streaming platform.

You will work with Apache Kafka, Confluent Kafka, Kubernetes, and automation tools, ensuring high availability, performance, and resilience of enterprise messaging infrastructure.

• Deploy, configure, and maintain Kafka infrastructure, including brokers, ZooKeeper/KRaft, Kafka Connect, and Schema Registry.
• Manage Kafka components running on Kubernetes, including scaling, upgrades, configuration, and troubleshooting.
• Administer Kafka clusters, including provisioning and managing topics, access permissions, and role bindings.
• Configure and maintain Kafka connectors for integrations with MQ, Splunk, MongoDB, and GCP Pub/Sub.
• Implement monitoring, alerting, and observability solutions to ensure platform reliability.
• Automate infrastructure operations and maintenance activities using scripting and DevOps tools.
• Perform performance benchmarking, analysis, and tuning to optimise Kafka clusters.
• Troubleshoot production issues, conduct root cause analysis (RCA), and implement preventative improvements.
• Collaborate with globally distributed engineering teams and stakeholders.

• Strong hands-on experience with Apache Kafka and/or Confluent Kafka.
• Deep understanding of Kafka architecture, including brokers, ZooKeeper/KRaft, Kafka Connect, and Schema Registry.
• Practical experience with Kubernetes and containerised infrastructure.
• Experience administering, maintaining, and troubleshooting production Kafka clusters.
• Knowledge of Kafka Connect, including connectors, workers, tasks, converters, and SMTs.
• Experience with Infrastructure as Code (IaC) and infrastructure automation.
• Knowledge of monitoring, performance tuning, and incident management.
• Familiarity with DevOps tools such as GitHub, Jenkins, Jira, and Confluence.
• Strong analytical, problem-solving, and technical communication skills.
• Very good English communication skills and ability to work in a global environment.

• Experience integrating Kafka with MQ, Splunk, MongoDB, or GCP Pub/Sub.
• Experience with Kafka performance benchmarking and capacity planning.
• Knowledge of scripting languages used for infrastructure automation.
• Experience working with globally distributed engineering teams.