Senior Kafka Engineer

• 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. 

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 

,[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.] Requirements: Kafka, Security, Apache Kafka, Infrastructure as Code, DevOps, GitHub, Jira, Confluence, Jenkins, Ansible, Puppet, Datadog, Prometheus, Grafana Additionally: Sport Subscription, Private healthcare, Life insurance, Training budget, Small teams, Free coffee, Free snacks, In-house trainings, Modern office, No dress code.