Cloud Database Infrastructure Engineer

About ClickHouse

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.

We’re on a mission to transform how companies use data. Come be a part of our journey!

The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the 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.

What will you do?

• Build a cutting-edge cloud-native database platform on top of the public cloud.
• Work on our in-house Kubernetes operator to support seamless infrastructure management.
• Improve the metrics pipeline and build systems to generate better statistics and recommendations.
• Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements.
• Architecting and building a robust, scalable, and highly available distributed infrastructure

About you:

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

#LI-Remote

The typical starting salary for this role in the US is

$133,450 — $197,200 USD

The typical starting salary for t