Kafka SRE - Hybrid Krakow Contract (Kubernetes)

N Consulting; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

N Consulting is seeking a Kafka SRE in Krakow on a hybrid basis (2 days onsite). The role focuses on operating and scaling the Kafka ecosystem, including connectors, monitoring, and automation. You will collaborate with a globally located team to ensure reliability and performance of streaming data pipelines.

Ideal candidates have strong Kafka architecture knowledge, IaC experience, and hands-on Kubernetes ops, with a proactive mindset for incident resolution and improvements.

Qualifications

• Experience with Kafka brokers and ZooKeeper/KRaft
• Strong problem solving and analytical skills
• Clear communication with engineers and stakeholders
• IaC and automation-first environment experience
• Messaging technologies: Apache Kafka, Confluent Kafka
• DevOps toolsets: GitHub, JIRA, Confluence, Jenkins

Responsibilities

• Provide deep technical expertise across the Kafka ecosystem (brokers, ZooKeeper/KRaft, Connect, Schema Registry)
• Deploy and operate Kafka on Kubernetes with scaling, upgrades and troubleshooting
• Administer Kafka topics and role-bindings across the platform
• Configure and maintain Kafka connectors (MQ, Splunk, MongoDB, GCP PubSub) and Connect components
• Implement monitoring and alerting for observability and resilience
• Automate operational tasks using scripting and IaC tools
• Perform benchmarking and tuning for scalable data streaming
• Lead RCAs for production incidents and drive improvements

Skills

Kafka architecture

Problem solving

Technical communication

Infrastructure as Code

Messaging: Kafka & Confluent

Tools

GitHub

JIRA

Confluence

Jenkins

Job description

N Consulting is seeking a Kafka SRE in Krakow on a hybrid basis (2 days onsite). The role focuses on operating and scaling the Kafka ecosystem, including connectors, monitoring, and automation. You will collaborate with a globally located team to ensure reliability and performance of streaming data pipelines.

Ideal candidates have strong Kafka architecture knowledge, IaC experience, and hands-on Kubernetes ops, with a proactive mindset for incident resolution and improvements.