Cloud Data Engineer
6 days ago
At Confluent, we're revolutionizing the way organizations harness the power of data to innovate and succeed in the digital world.
We're building Kora, a cloud-native event streaming platform for Kafka, and we need your expertise to make it happen.
This role is all about driving performance tuning and optimization for Kora's compute layer. You'll work with our engineering teams to identify bottlenecks, create testing strategies, and improve system performance.
Your responsibilities will include:
- Platform Optimization: Develop strategies to optimize Kafka performance for scalability, resilience, and high availability.
- Performance Tuning: Conduct analysis and tuning of our Confluent Kafka offerings to meet performance requirements under various loads.
- Tooling: Build tools to measure key performance metrics, providing insights into efficiency and resource utilization.
- Monitoring: Establish monitoring systems for metrics, proactively identifying and resolving performance issues in production.
To succeed in this role, you'll need:
- A strong understanding of distributed systems design and development.
- Experience building and operating large-scale systems in the cloud.
- Proficiency in Java, Scala, C/C++, Go, or other statically typed languages.
- A solid understanding of basic systems operations (disk, network, operating systems, etc).
**Estimated Salary:** $235,800 - $253,400 per year.
Confluent offers a wide range of benefits, including competitive pay, annual bonuses, and a comprehensive equity package. Click HERE to learn more.
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