Kafka SRE

• Strong technical knowledge of Kafka architecture and data streaming ecosystems.
• Hands-on experience operating Kafka in containerized environments (Kubernetes) .
• Proficiency in automation and Infrastructure as Code principles.
• Familiarity with tooling: GitHub, Jenkins, JIRA, Confluence .
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with engineers and technical stakeholders .

Nice to have:

• Experience with Confluent Kafka and other messaging technologies.
• Previous work in enterprise-scale or global infrastructure teams .

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.  

 

We’re looking for a Kafka Platform Engineer to manage and ensure the operational excellence of Kafka clusters deployed on Kubernetes . You’ll be responsible for maintaining reliability, performance, and automation across global streaming infrastructure. This is a hands-on engineering role in a dynamic, collaborative global team.

Sounds like your kind of challenge? 

What you get in return

• Flexible cooperation model  
• Hybrid work setup – 6 days per month from the office
• 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 

,[Operate and administer Kafka clusters end-to-end (brokers, Zookeeper/KRaft, Kafka Connect, Schema Registry)., Deploy and maintain Kafka components and connectors (MQ, Splunk, MongoDB, GCP Pub/Sub)., Implement monitoring and alerting using Prometheus, Grafana, and Splunk., Troubleshoot, benchmark, and optimize Kafka performance and scalability., Automate operational tasks using Infrastructure as Code and CI/CD pipelines., Lead incident root cause analysis and drive preventive improvements., Collaborate with globally distributed teams and align activities across time zones.] Requirements: Kafka, Kubernetes, Infrastructure as Code, GitHub, Jenkins, Jira, Confluence