ABOUT CLICKHOUSE

Established in 2009, ClickHouse leads the industry with its open-source column-oriented database system, driven by the vision of becoming the fastest OLAP database globally. The company empowers users to generate real-time analytical reports through SQL queries, emphasizing speed in managing escalating data volumes. Enterprises globally, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more, rely on ClickHouse Cloud. It is available through open-source or on AWS, GCP, Azure, and Alibaba.

ABOUT THE TEAM

The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud.

• Benchmark system performance, database performance analysis, capacity sizing and optimization.
• Ability to troubleshoot and debug application and server errors and logs and triage accordingly
• Recommend configuration tuning/optimizations for performance bottlenecks
• Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud.
• Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
• Develop, deploy and manage tools to systematically run chaos experiments and measure impact
• Enjoy working on, and gaining a deep understanding of, large scale distributed systems
• Study the problems in the software resilience, operational, and delivery spaces
• Extend our entire backend to enable Chaos Engineering techniques in the system
• Observe running systems, and determine/prioritize innovative ways to disrupt them