Kafka SRE

Solid Company; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Solid Company in Kraków is seeking an experienced Kafka/DevOps engineer to design, deploy, and maintain a scalable Kafka streaming platform. You will work with Apache Kafka, Confluent Kafka, Kubernetes, and automation tools to ensure high availability and performance of enterprise messaging infrastructure.

You will collaborate with globally distributed engineering teams, manage Kafka clusters, and implement monitoring, RCA, and performance tuning to drive platform reliability and efficiency.

Qualifications

• Strong hands-on experience with Apache Kafka and/or Confluent Kafka.
• Deep understanding of Kafka architecture, brokers, ZooKeeper/KRaft, Kafka Connect, and Schema Registry.
• Practical experience with Kubernetes and containerised infrastructure.
• Experience administering, maintaining, and troubleshooting production Kafka clusters.
• Knowledge of Kafka Connect, including connectors, workers, tasks, converters, and SMTs.
• Experience with Infrastructure as Code (IaC) and infrastructure automation.
• Knowledge of monitoring, performance tuning, and incident management.
• Familiarity with DevOps tools such as GitHub, Jenkins, Jira, and Confluence.
• Strong analytical, problem-solving, and technical communication skills.
• Very good English communication skills and ability to work in a global environment.

Responsibilities

• Deploy, configure, and maintain Kafka infrastructure, including brokers, ZooKeeper/KRaft, Kafka Connect, and Schema Registry.
• Manage Kafka components running on Kubernetes, including scaling, upgrades, configuration, and troubleshooting.
• Administer Kafka clusters, including provisioning and managing topics, access permissions, and role bindings.
• Configure and maintain Kafka connectors for integrations with MQ, Splunk, MongoDB, and GCP Pub/Sub.
• Implement monitoring, alerting, and observability solutions to ensure platform reliability.
• Automate infrastructure operations and maintenance activities using scripting and DevOps tools.
• Perform performance benchmarking, analysis, and tuning to optimise Kafka clusters.
• Troubleshoot production issues, conduct root cause analysis (RCA), and implement preventative improvements.
• Collaborate with globally distributed engineering teams and stakeholders.

Skills

Kafka

Confluent Kafka

Kubernetes

IaC

Monitoring

SRE

DevOps

GitHub

Jenkins

Jira

Confluence

English

Problem Solving

Tools

GitHub

Jenkins

Jira

Confluence

Job description

Join a global engineering environment focused on building, maintaining, and optimising a reliable and scalable Kafka streaming platform.

You will work with Apache Kafka, Confluent Kafka, Kubernetes, and automation tools, ensuring high availability, performance, and resilience of enterprise messaging infrastructure.

YOU WILL

• Deploy, configure, and maintain Kafka infrastructure, including brokers, ZooKeeper/KRaft, Kafka Connect, and Schema Registry.
• Manage Kafka components running on Kubernetes, including scaling, upgrades, configuration, and troubleshooting.
• Administer Kafka clusters, including provisioning and managing topics, access permissions, and role bindings.
• Configure and maintain Kafka connectors for integrations with MQ, Splunk, MongoDB, and GCP Pub/Sub.
• Implement monitoring, alerting, and observability solutions to ensure platform reliability.
• Automate infrastructure operations and maintenance activities using scripting and DevOps tools.
• Perform performance benchmarking, analysis, and tuning to optimise Kafka clusters.
• Troubleshoot production issues, conduct root cause analysis (RCA), and implement preventative improvements.
• Collaborate with globally distributed engineering teams and stakeholders.

Kogo poszukujemy?

MUST HAVE

• Strong hands-on experience with Apache Kafka and/or Confluent Kafka.
• Deep understanding of Kafka architecture, including brokers, ZooKeeper/KRaft, Kafka Connect, and Schema Registry.
• Practical experience with Kubernetes and containerised infrastructure.
• Experience administering, maintaining, and troubleshooting production Kafka clusters.
• Knowledge of Kafka Connect, including connectors, workers, tasks, converters, and SMTs.
• Experience with Infrastructure as Code (IaC) and infrastructure automation.
• Knowledge of monitoring, performance tuning, and incident management.
• Familiarity with DevOps tools such as GitHub, Jenkins, Jira, and Confluence.
• Strong analytical, problem-solving, and technical communication skills.
• Very good English communication skills and ability to work in a global environment.

NICE TO HAVE

• Experience integrating Kafka with MQ, Splunk, MongoDB, or GCP Pub/Sub.
• Experience with Kafka performance benchmarking and capacity planning.
• Knowledge of scripting languages used for infrastructure automation.
• Experience working with globally distributed engineering teams.