Staff Engineer, Distributed Systems
LaunchDarklyFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
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The role requires expertise in Apache Flink, architecting scalable distributed systems across AWS, Azure, and GCP, technical leadership, open-source contributions, and complex troubleshooting.
Confluent values smart, curious team players who ask hard questions, give honest feedback, show up for each other, and work together without egos or solo acts.
Strong candidates have experience architecting scalable stream processing systems with Flink, leading cross-functional projects, contributing to open source, and mentoring engineers while driving technical vision.
Data streaming solutions for real-time processing
Confluent specializes in data streaming solutions, focusing on helping businesses manage and process real-time data streams. Its main product is built on Apache Kafka, an open-source platform that allows users to create real-time data pipelines and streaming applications. Clients, including large enterprises and financial institutions, utilize Confluent's tools to collect, process, and analyze data streams, which helps them make quicker and more informed decisions. Unlike many competitors, Confluent offers a subscription-based model for its cloud platform, Confluent Cloud, and its on-premises software, Confluent Platform, ensuring a steady revenue stream. The company also provides professional services like training and consulting to assist clients in optimizing their data streaming solutions. Confluent's goal is to be a leader in the data streaming market, enabling organizations to leverage real-time data for improved operational efficiency.