- 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
- Proficiency in Java/Scala or C/ C++ preferred
- Experience with building the query engines in databases or search systems is desirable
- Nice to have:
- Familiarity with SQL is a big plus
- 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.
Our Story Founded by the team that built Apache Kafka®, Confluent builds a streaming platform that enables companies to easily access data as real-time streams Background 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.
Want to learn more about Confluent? Visit Confluent's website.
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