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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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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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We're looking for a Solutions Architect to serve as the primary technical partner for our prospects and customers. You'll work hand-in-hand with Sales...
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The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineer...
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The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineer...
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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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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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The Product Metrics team owns the collection, storage, and serving of metrics collected from customers' ClickHouse instances. As a part of the team yo...
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Posted 3 weeks ago
Senior Backend Engineer - ClickStack
ClickHouse
United States · also open in 4 other locations
Join us in revolutionizing Observability for Developers! We’re on a mission to redefine how engineers monitor, debug, and scale their production appli...
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At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep do...
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Posted 3 weeks ago
Senior Software Engineer - Integrations - AI/ML
ClickHouse
Canada · also open in 4 other locations
The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible...
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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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