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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 looking for a talented and motivated Backend Engineer to join our team. You will be responsible for building and maintaining scalable, high-per...
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Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writ...
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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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ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like A...
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The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Learn mo...
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Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-t...
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As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Dat...
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Posted 2 months ago
Databricks
Nevada; Remote - California; Remote - Colorado; Remote - Washington
As a Sr. Solutions Architect on the team supporting the strategic Digital Natives Business (DNB) customers, you will shape the future of the Data & AI...
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Posted 2 months ago
Databricks
Nevada; Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Solutions A...
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Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data...
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Role guide
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 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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