Senior Systems Engineer – Cloud Platform
AcronisFull Time
Senior (5 to 8 years)
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.
The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.
For roles based in the United States, typical starting salary ranges are provided. The positioning of offers within a certain range depends on various factors, including: candidate experience, qualifications, skills, business requirements, and geographical location.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
High-speed column-oriented database management system
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.