Start Date
Immediate
Expiry Date
20 Nov, 25
Salary
0.0
Posted On
21 Aug, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Good communication skills
Industry
Information Technology/IT
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
ABOUT THE ROLE:
The Stream Processing & Analytics (SPA) team has the vision to build an elastic, reliable, durable, cost-effective, and performant stream processing engine that smoothly works with the existing Confluent Cloud products. The Apache Flink-based stream processing engine is at the heart of innovations that would unlock the next generation of use cases for Confluent Cloud, with the ability to impact the company’s top and bottom line.
This Principal Engineer role is critical in defining and executing the long-term vision around a scalable, efficient, resilient and true cloud native data stream processor, including initiatives enabling autoscaling and limitless state management, ensuring a zero-knob and worry-free experience for our users and customers by providing the right amount of stream processing at any given point in time, allowing customers to focus on building their use case without managing infrastructure complexities.
WHAT YOU WILL DO: