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Remote, United States Today $200k – $220k
Apache Kafka Linux Jobs
Apache Kafka is the dominant distributed event streaming platform in the Linux ecosystem, used by engineering teams to build real-time data pipelines, event-driven architectures, and stream processing systems at scale. Kafka engineers design topics and partition strategies, operate Kafka clusters on Linux or Kubernetes, and integrate Kafka with producers and consumers across microservices architectures.
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Remote, United States Today Not disclosed
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Remote, United States Today $145k – $165k
Toronto, Ontario, Canada Yesterday CAD 129k – CAD 178k
London, England, United Kingdom Yesterday Not disclosed
Remote, European Union Yesterday Not disclosed
Bengaluru, Karnataka, India Yesterday Not disclosed
South San Francisco, California, United States 2d ago $180k – $240k
Riga, Latvia 2d ago Not disclosed
Prague, Czech Republic or Remote, EU 2d ago Not disclosed
Hong Kong, Hong Kong, China 2d ago Not disclosed
San Jose, California, United States 4d ago $156k – $186k
Hong Kong, Hong Kong, China 5d ago Not disclosed
Chennai, Tamil Nadu, India 5d ago Not disclosed
Los Angeles, California, United States 5d ago Not disclosed
El Segundo, California, United States 5d ago $85k – $95k
London, United Kingdom 6d ago Not disclosed
Tel Aviv, Israel 6d ago Not disclosed
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Mexico City, Mexico 6d ago Not disclosed
San Francisco, California, United States May 27 Not disclosed
Frequently Asked Questions
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Kafka is used as a durable, high-throughput message broker and event log. Common use cases include real-time analytics pipelines, event sourcing, log aggregation, microservices communication, and change data capture from databases. It runs on Linux and is typically deployed on bare metal, VMs, or Kubernetes.
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Kafka engineers need Linux systems knowledge for tuning OS-level parameters including file descriptor limits, network buffers, and disk I/O schedulers that directly affect Kafka performance. JVM tuning, ZooKeeper or KRaft administration, and monitoring with Prometheus and Grafana are commonly expected alongside Kafka-specific skills.
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KRaft (Kafka Raft) is the mode introduced in Kafka 2.8 that replaces the ZooKeeper dependency for cluster coordination. As of Kafka 3.7, KRaft is the production-ready default. Job postings increasingly mention KRaft familiarity as ZooKeeper-based deployments are phased out.
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Kafka roles commonly list Kafka Connect for source and sink connectors, Kafka Streams or Apache Flink for stream processing, Schema Registry for message schema management, and Kubernetes operators like Strimzi for cluster lifecycle management. Python, Java, and Go are the most common client languages.