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© All Rights Reserved. ApplyBlast.com
Confluent
An experienced backend engineer will design and build AI capabilities for Confluent Cloud, enabling machine learning inference directly on real-time streaming data. The role involves owning end-to-end delivery of complex services spanning model lifecycle management, inference routing, and agent execution, while collaborating across teams to align on technical strategy and ensure production reliability. Candidates must possess deep expertise in distributed systems and proficiency in Go, Java, or Python to lead ambiguous, cross-cutting architectural decisions.
Headquarters
Mountain View, California, United States
Company Size
1001-5000 employees
Founded
2014
Confluent is a data streaming company that provides a unified platform to stream, connect, process, and govern data in real time, built on the heritage of Apache Kafka and Apache Flink. It offers Confluent Platform and Confluent Cloud — a managed Kafka service plus tools like connectors, ksqlDB, Schema Registry, and observability, security, and governance features — to build scalable streaming pipelines and applications. Enterprises use Confluent to modernize architectures, move from batch to real‑time data flows, and integrate systems across clouds and on‑premises with enterprise-grade reliability and developer-friendly APIs.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Confluent.
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