Dubbed an "open-source unicorn" by Forbes, Confluent is the fastest-growing enterprise subscription company our investors have ever seen. And how are we growing so fast? By pioneering a new technology category with an event streaming platform, which enables companies to leverage their data as a continually updating stream of events, not as static snapshots. This innovation has led Sequoia Capital, Benchmark, and Index Ventures to recently invest a combined $125 million in our Series D financing. Our product has been adopted by Fortune 100 customers across all industries, and we’re being led by the best in the space—our founders were the original creators of Apache Kafka®. We’re looking for talented and amazing team players who want to accelerate our growth, while doing some of the best work in their career. Join us as we build the next transformative technology platform!
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.
Who You Are:
Smart, humble, and empathetic
Have a strong sense of teamwork and put team’s and company’s interests first
Driven and excited about challenges of a fast-paced, innovative software startup environment
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
What Gives You An Edge:
Experience in open-source development
Experience using Apache Kafka
Culture is a huge part of Confluent, we’re searching for the best people who not only excel at their role, but also contribute to the health, happiness and growth of the company. Inclusivity and openness are important traits, with regular company wide and team events. Here are some of the personal qualities we’re looking for:
Smart, humble and empathetic
Hard working, you get things done
Hungry to learn in a field which is ever evolving
Adaptable to the myriad of challenges each day can present
Inquisitive and not afraid to ask all the questions, no matter how basic
Ready to roll up your sleeves and help others, getting involved in projects where you feel you can add value
Strive for excellence in your work, your team and the company
Come and build with us. We are one of the fastest growing software companies in the market. A company built on the tenets of transparency, direct communication and inclusivity. Come meet the streams dream team and have a direct impact on how we shape Confluent.
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.