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 Role:
We are building a massively scalable stream processing platform which enables low latency operations like filters, joins and aggregations on real time data. We are looking for an experienced infrastructure engineer to drive fundamental improvements to this platform. Some key challenges include SQL query optimization for real time data, designing and building efficient execution models for continuous streaming queries, designing and building new operators, and more!
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
Working across team boundaries to achieve end to end query optimizations
Working with customers and field teams to design and build new real time data processing operators
Discovering and solving performance bottlenecks in query execution
Interacting with the open-source community to provide strong technical guidance and leadership around real time stream processing
What We're Looking For:
5+ years of relevant experience
Bachelor's degree in Computer Science or similar field
Strong fundamentals in distributed systems design and development
Experience building and operating large-scale systems
A firm understanding of how machines work: disk, network, operating systems, etc
Experience with building the query engines in databases or search systems is desirable
What Gives You An Edge:
Familiarity with SQL
Exposure to big data systems like Hadoop, Spark, Kafka, etc.
A strong product mindset
Interest in evangelism. This would include giving talks at tech conferences, writing technical blog posts, etc.
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.