Kafka SRE

Infolet supports IT leaders by providing technology, experts, and full operational support, including legal work and residence legalization for international IT specialists. They have 20 years of experience and manage projects involving specialists in Java, JavaScript, C embedded, C++, PHP, mobile, software testing, network and system administration, among others.

• 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 containerized 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.

Nice to have:

• 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.

• 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 optimize Kafka clusters.
• Troubleshoot production issues, conduct root cause analysis (RCA), and implement preventative improvements.
• Collaborate with globally distributed engineering teams and stakeholders.