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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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Remote worldwide
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Kafka Engineer Event Streaming Engineer Real-Time Data Engineer ML Infrastructure Engineer Data Platform Engineer

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Jobs & Projects

Harvey

Posted 3 weeks ago

Engineering Manager, Model Infrastructure

Harvey

San Francisco

Full-time
English
$260K – $350K / year
azure machine learning spark kafka airflow +3 more
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Arize AI

Posted 3 weeks ago

Senior AI Product Engineer, Backend

Arize AI

Remote (United States)

senior
Full-time
English
machine learning python aws azure machine learning +6 more
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Parloa

Posted 3 weeks ago

Staff Product Engineer

Parloa

Berlin Office; London Office; Munich Office; Remotely in Germany; Remotely in the UK

staff
Full-time
English
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Agility Robotics

Posted 3 weeks ago

Staff Software Engineer, Data Platform

Agility Robotics

Remote

staff
Full-time
English
$191K – $299K / year
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Decagon

Posted 1 month ago

Staff Software Engineer, Platform Security

Decagon

San Francisco

staff
Full-time
English
$200K – $400K / year
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Notion

Posted 1 month ago

Engineering Manager, Data Platform Foundations

Notion

San Francisco, California

lead
Full-time
English
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Brainco

Posted 1 month ago

Software Enginer, AI Platform (Backend)

Brainco

San Francisco Bay Area

Full-time
English
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Databricks

Posted 1 month ago

Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)

Databricks

Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington

senior
Full-time
English
$152K – $209K / year
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Anyscale

Posted 1 month ago

Staff Software Engineer, Ray Core

Anyscale

San Francisco

staff
Full-time
English
$240K – $270K / year
azure spark kafka distributed systems
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Databricks

Posted 2 months ago

Solutions Architect - Strategic High Tech

Databricks

Remote - California; San Francisco, California

Full-time
English
$180K – $248K / year
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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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