Senior Kafka Engineer

O projekcie: 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 Wymagania: - 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. Codzienne zadania: - 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.