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 Team
The next big goal for Confluent is to make it as easy as possible for anyone to use Confluent’s products, including Kafka, to build their next killer streaming application. To do that we are building the Confluent Cloud which provides our products as a service in all the major public clouds. We are at the beginning of this engineering journey and are looking for great engineers to come join the world class team of engineers that are passionate about building and running large scale, multi-tenant distributed data systems for customers that expect a very high level of availability.
What We're Looking For:
Strong fundamentals in distributed systems design and development
Experience automation to operate large-scale data systems
Solid experience working with large public clouds
Experience running production services in public clouds
Proficiency in Java, Go, or C/ C++ and experience working with Kubernetes as well as Terraform
Solid understanding of basic systems operations (disk, network, operating systems, etc)
A self starter with the ability to work effectively in team with excellent spoken / written communication
Bachelor's degree in Computer Science or similar field or equivalent
Experience in open-source development is a plus
Experience using Apache Kafka is a plus
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.