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Remote Apache Kafka Jobs
Browse remote Kafka positions — event streaming engineering, real-time data pipeline development, and ML feature computation roles at AI companies.
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Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates,...
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Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a b...
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We’re on a mission to make data available and actionable to everyone, everywhere. With 700+ connectors, our platform powers analytics and gives AI age...
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At Pika, we’re building the next generation of AI creative tools to empower human creativity. Our mission is to make video creation seamless, intuitiv...
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The ClickPipes team builds the services that power data ingestion into ClickHouse Cloud. As a primary entry point for customers’ data, ClickPipes is c...
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We are currently growing our support team at ClickHouse who provides excellent service to our customers around the world. We are seeking a Senior Tech...
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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現在、世界中のお客様に優れたサービスを提供しているサポートサービスチームの拡大を進めています。グローバルチームに加わり、ClickHouse のエンタープライズ...
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We are growing our support team at ClickHouse, and we're looking for a Senior Technical Customer Support Engineer, Federal, to serve the specific need...
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We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Se...
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Role guide
What to expect in remote Kafka jobs
Apache Kafka is the backbone of real-time data infrastructure at AI companies. Remote Kafka jobs involve building event streaming pipelines, designing topic architectures, and integrating Kafka with ML feature stores and streaming ML inference systems. Engineers who combine Kafka expertise with Python and ML pipeline knowledge are particularly in demand.
What you'll work on
- Build real-time ML feature computation pipelines using Kafka Streams or ksqlDB
- Design event-driven architectures that trigger ML inference at scale
- Develop Kafka connectors to move data between databases and ML platforms
- Implement exactly-once processing for financial or safety-critical AI systems
What companies look for
- Kafka topic design — partitioning, retention, replication factor
- Consumer group management and offset handling for reliable processing
- Kafka Streams or ksqlDB for stream processing application development
Frequently asked questions
What remote Kafka jobs are available at AI companies?
Real-time data engineering and ML infrastructure roles where Kafka manages event streams. Most require Python alongside Kafka expertise and cloud platform (AWS MSK, Confluent Cloud) experience.
Do Kafka engineers need Spark knowledge for AI roles?
Often yes — particularly for roles combining batch and streaming processing. The Spark + Kafka combination is common in AI companies that need both real-time features and historical batch training data.
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