Site Reliability Engineer
Stitch FixFull Time
Mid-level (3 to 4 years)
Candidates should possess a Bachelor's or Master's degree in Computer Science or a related field, with at least 5 years of experience in Reliability Engineering, QA, or customer-facing engineering. Prior experience operating ClickHouse or other SQL databases in production is required, along with a strong understanding of distributed database internals and SQL, especially ClickHouse. Proficiency in scripting with Shell or Python, the ability to read C++ code, and knowledge of cloud computing platforms like AWS, Azure, or GCP are essential. Strong problem-solving, production debugging skills, a high level of responsibility, ownership, accountability, and excellent communication skills are also necessary.
The Database Reliability Engineer will continuously improve the reliability and performance of ClickHouse core, and enhance metrics and alerts to proactively identify and prevent production issues. They will investigate common customer-encountered problems to find root causes, submit bug fixes, and suggest improvements. Responsibilities also include refining incident response processes and post-mortem analysis, managing on-call duties for performance and reliability issues, and establishing best practices for escalation. The role involves planning and driving Chaos initiatives and collaborating with various teams to ensure the best implementation of ClickHouse for customers.
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.