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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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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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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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At Zowie, we’re revolutionizing how businesses interact with their customers. We’re creating a future where AI Agents handle 100% of customer interact...
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Please drop us a line at [email protected]. We're excited to meet you! Data warehouses like Snowflake and BigQuery are shifting how companies thin...
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Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and...
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Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates i...
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Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems....
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Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems....
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Posted 3 weeks ago
Software Engineer - Backend - Behavioral Security Products
Abnormal Security
Remote - UK
At Abnormal AI, we protect our customers against nefarious adversaries who are constantly evolving their techniques and tactics to outwit and undermin...
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The Product Metrics team owns the collection, storage, and serving of metrics collected from customers' ClickHouse instances. As a part of the team yo...
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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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