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, & 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, & we're being led by the best in the space-our founders were the original creators of Apache Kafka. We're looking for talented & amazing team players who want to accelerate our growth, while doing some of the best work of their careers. Join us as we build the next transformative technology platform!
About the Team:
The next big goal for the company is to make it as easy as possible for anyone in the world to use Confluent's products to build their next killer streaming application. To do that we need to offer Confluent's products as a Platform as a Service (PaaS). In order for this product to be successful, we absolutely have to bring in world-class talent that is passionate about running large scale, multi-tenant distributed data systems for customers who expect a very high level of availability.
About the Role:
A KPE is a key member of the Kafka team at Confluent. You work closely with the team & other Confluent engineers to continuously build out & improve our PaaS offering. You will be part of the team responsible for key operational aspects (availability, reliability, performance, monitoring, emergency response, capacity planning, disaster recovery) of our Kafka systems in production. If you love the hum of big data systems, think about how to make them run as smoothly as possible, & want to have a big influence on the architecture plus operational design points of this new product, then you will fit right in.