• The Cloud AutoScaling team is dedicated to implementing robust vertical and horizontal auto-scaling capabilities within the ClickHouse cloud environment
• We seek exceptional software engineers to develop and maintain the auto-scaling infrastructure to transform ClickHouse into a fully functional serverless database solution
• Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system
• Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability
• Build a cutting-edge cloud-native database platform on top of the public cloud
• Work on the autoscaling and our in-house Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling
• Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations
• Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support auto-scaling use cases as well as other internal infrastructure improvements
• Architecting and building a robust, scalable, and highly available distributed infrastructure

Benefits

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
• Healthcare - Employer contributions towards your healthcare
• Equity in the company - Every new team member who joins our company receives stock options
• Time off - Flexible time off in the US, generous entitlement in other countries
• Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites
• A $500 Home office setup if you’re a remote employee

• Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools)
• You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver
• 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems
• Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2)
• You have excellent communication skills and the ability to work well within and across engineering teams
• You are passionate about solving data problems at Scale
• Production experience with programming languages like Go, C++ or Java
• Experience with Python (uv, fastAPI) Data Science (Pandas, NumPy etc) is good to have
• Experience building operators with Kubernetes, controller runtime