Helping a customer determine his/her platform and/or application strategy for moving to a more real-time, event-based business. Such engagements often involve remote preparation; presenting an onsite or remote workshop for the customer s architects, developers, and operations teams; investigating (with Engineering and other coworkers) solutions to difficult challenges; and writing a recommendations summary doc.
Providing feedback to the Confluent Product and Engineering groups
Building tooling for another team or the wider company to help us push our technical boundaries and improve our ability to deliver consistently with high quality
Testing performance and functionality of new components developed by Engineering
Writing or editing documentation and knowledge base articles, including reference architecture materials and design patterns based on customer experiencesHoning your skills, building applications, or trying out new product features
Participating in community and industry events
Requirements
Deep experience designing, building, and operating in-production Big Data, stream processing, and/or enterprise data integration solutions, ideally using Apache Kafka
Demonstrated experience successfully managing multiple B2B infrastructure software development projects, including driving expansion, customer satisfaction, feature adoption, and retention
Experience operating Linux (configure, tune, and troubleshoot both RedHat and Debian-based distributions)
Experience using cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure) for running high-throughput systems
Experience with Java Virtual Machine (JVM) tuning and troubleshooting
Experience with distributed systems (Kafka, Hadoop, Cassandra, etc.)
Proficiency in Java
Strong desire to tackle hard technical problems, and proven ability to do so with little or no direct daily supervision
Excellent communication skills, with an ability to clearly and concisely explain tricky issues and complex solutions
Ability to quickly learn new technologies
Ability and willingness to travel up to 50% of the time to meet with customers
Bonus Points
Experience helping customers build Apache Kafka solutions alongside Hadoop technologies, relational and NoSQL databases, message queues, and related products
Experience with Scala, Python, or Go
Experience working with a commercial team and demonstrated business acumen
Experience working in a fast-paced technology start-up
Experience managing projects, using any known methodology to scope, manage, and deliver on plan no matter the complexity
Bachelor-level degree in computer science, engineering, mathematics, or another quantitative field