Backed by Benchmark, Sequoia Capital, and Index Ventures, Confluent is one of the fastest growing startups in Silicon Valley. Founded by the team that built Apache Kafka, Confluent provides a streaming platform that enables companies to easily access data as real-time streams. In addition to our enterprise platform, we recently launched our cloud offering, Apache Kafka as a Service, which will allow companies of all sizes to leverage the power of streaming data. Join us on our mission to put a streaming platform at the heart of every company!
About the Role:
As a Confluent Control Center Engineer, you will be working on the application that brings products together to make the Confluent platform a reality. You will be building a product to help our customers monitor their streaming applications using the new time series system on Kafka and manage their Kafka related infrastructure. We work with some of the largest companies in the world for who it is critically important to have one product to monitor and to be able to manage a data streaming platform.
Come build the next generation time series database on top of Kafka! We are seeking strong distributed systems engineers who are excited about building elegant data systems.
Self starter with the ability to work effectively in teams, including frontend engineers and product designers
Experience building and operating multi-tier web applications, including REST APIs
Proficiency in Java
Experience working with Kafka is a plus
Bachelor's degree in Computer Science or similar field or equivalent
Founded by the team that built Apache Kafka®, Confluent builds a streaming platform
that enables companies to easily access data as real-time streams
Every byte of data has a story to tell, something of significance that will inform the next thing to be done. In a data-driven enterprise, how we move our data becomes nearly as important as the data itself. With greater speed and agility, data’s value increases exponentially.
From its very early days, we have open-sourced Apache Kafka™ and have led it to impressive industry-wide adoption across several thousand companies. Now we are focusing on building a streaming platform to help other companies get easy access to enterprise data as real-time streams.