Senior Kafka Engineer

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. Are you passionate about building and maintaining high-performance messaging platforms? We are looking for a Senior Kafka Platform Engineer to manage and ensure the operational excellence of Kafka clusters running in a Kubernetes environment. Sounds like your kind of challenge? LI-Hybrid - 6 days per month from the Kraków office. What you get in return Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.) Hybrid work setup – remote days available depending on the client’s arrangements Collaborative team culture – work alongside experienced professionals eager to share knowledge Continuous development – access to training platforms and growth opportunities Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more High quality equipment – laptop and essential software provided
Requirements:
Strong understanding of Kafka architecture and experience with cluster maintenance and security. Hands-on experience with Apache Kafka and Confluent Kafka . Familiarity with Infrastructure as Code and automation-first principles. Experience with DevOps tools: GitHub, JIRA, Confluence, Jenkins . Knowledge of automation tools: Ansible, Puppet , or similar. Experience with observability tools: DataDog, NewRelic, Prometheus, Grafana . Strong problem-solving, analytical, and communication skills. Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Must have: Kafka, Security, Apache Kafka, Infrastructure as Code, DevOps, GitHub, Jira, Confluence, Jenkins, Ansible, Puppet, Datadog, Prometheus, Grafana
Daily tasks: - Provide expertise in Kafka brokers, zookeepers, Kafka Connect, schema registry, KSQL, Rest Proxy, and Kafka Control Center.
– Manage and optimize Kafka Connect using schema registry in high-volume environments.
– Administer and operate the Kafka platform, including provisioning, Kerberos and SSL configurations, and access control.
– Work with various Kafka connectors (MQ, ElasticSearch, JDBC, File Stream, JMS) and custom connectors using Kafka APIs.
– Create topics, set up redundancy clusters, deploy monitoring tools, and configure alerts for producers, consumers, and consumer groups.
– Conduct root cause analysis of production incidents and implement proactive measures to enhance system reliability.
– Automate routine tasks using scripts or automation tools; perform benchmarking, performance analysis, and tuning.