Remote positions
Browse remote Kafka positions — event streaming engineering, real-time data pipeline development, and ML feature computation roles at AI companies.
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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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AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI s...
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Posted 3 weeks ago
Parloa
Berlin Office; London Office; Munich Office; Remotely in Germany; Remotely in the UK
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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Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physicall...
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Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-de...
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Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and...
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Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems...
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Posted 1 month ago
Databricks
Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington
As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstr...
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At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commerci...
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Posted 2 months ago
Databricks
Remote - California; San Francisco, California
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Strategic S...
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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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