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

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Jobs & Projects

Character.AI

Posted 2 months ago

Software Engineer, Backend

Character.AI

Redwood City, CA

Full-time
English
$180K – $300K / year
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Baseten

Posted 2 months ago

Data Engineer

Baseten

San Francisco

Full-time
English
$180K – $250K / year
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Harvey

Posted 2 months ago

Software Engineer, Database Infra

Harvey

San Francisco

staff
Full-time
English
$191K – $325K / year
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ElevenLabs

Posted 2 months ago

Safety Engineer - Free Tier Abuse

ElevenLabs

United Kingdom

Full-time
English
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OpenAI

Posted 2 months ago

Software Engineer, AI Safety

OpenAI

San Francisco

Full-time
English
$207K – $385K / year
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Deepgram

Posted 2 months ago

Billing & Analytics Software Engineer

Deepgram

USA - Remote

Full-time
English
$180K – $245K / year
python kafka node.js looker typescript +4 more
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Databricks

Posted 2 months ago

Staff Forward Deployed Engineer

Databricks

Remote - India

staff
Full-time
English
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Databricks

Posted 2 months ago

Sr. Solutions Architect - Digital Native Business, Strategics

Databricks

Nevada; Remote - California; Remote - Colorado; Remote - Washington

senior
Full-time
English
$219K – $301K / year
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Databricks

Posted 2 months ago

Solutions Architect - Digital Native Business, Named Accounts

Databricks

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

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

Posted 2 months ago

Solutions Architect - Public Sector (SLED)

Databricks

Remote - Texas

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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