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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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Posted 3 months ago
Applications closedUlvex Systems
Remote
Amsterdam, Netherlands (UTC+1)
Our mission is to make sure nobody gets paged for a capacity problem we could have predicted. This role sits inside that mission directly: you'll buil...
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Posted 3 months ago
Applications closedMendra Intelligence
On-site
Chicago, United States (UTC-6)
We serve regional banks that write off a growing share of first-party fraud as an unrecoverable cost of doing business. The person in this role will o...
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Posted 4 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
What we already have: petabyte-scale data lakes, a mature batch pipeline stack, and strong ML models. What we're missing: a real-time event fabric tha...
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Posted 4 months ago
Applications closedQuelva Works
Remote
Chicago, United States (UTC-6)
We run the AI workflow layer for 300+ operations teams, processing 40M+ tasks per month. SLA adherence is the metric our clients care about most — and...
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Posted 4 months ago
Applications closedTrivon Data
Hybrid
New York, United States (UTC-5)
Kafka, PyTorch, and a real-time sports data stream from 1,200 live events per week are the foundation of this role. If you've built models that need t...
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Posted 5 months ago
Applications closedInfera Cloud
Remote
New York, United States (UTC-5)
Change Data Capture pipelines move database changes into data warehouses and feature stores in real time — but only if you can handle the operational...
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Posted 5 months ago
Applications closedUnvix Works
Remote
Chicago, United States (UTC-6)
Data contracts define what upstream producers promise and downstream consumers expect: column names, data types, freshness SLAs, value ranges, and nul...
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Posted 5 months ago
Applications closedSynta Cloud
Remote
Chicago, United States (UTC-6)
A temperature spike in reactor vessel 3 causes a pressure drop in the downstream heat exchanger, which triggers a flow rate adjustment in the cooling...
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Posted 5 months ago
Applications closedUnvix Works
Remote
Chicago, United States (UTC-6)
Batch ML is yesterday's problem. Our clients need predictions that update as data arrives — fraud scores that reflect the transaction happening right...
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Posted 5 months ago
Applications closedVelmox Data
Remote
New York, United States (UTC-5)
Feature engineering is where most ML projects succeed or fail, and most teams do it badly. Features get copy-pasted between notebooks, computed differ...
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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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