Cloud Database Infrastructure Engineer

Empleora; Northern (KY); Hybrid; USD 133,000 - 197,000; Full time

Job summary

ClickHouse is seeking exceptional software engineers to develop and maintain a cloud-native database platform. You’ll collaborate with the core development team to evolve ClickHouse into a serverless, scalable cloud system.

The role focuses on building distributed infrastructure, enhancing the metrics pipeline, and ensuring reliability across cloud environments. Remote-friendly with competitive compensation.

Qualifications

• 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant distributed systems.
• Production experience with Go, C++, or Java.
• Experience with on-call and production debugging.
• Expertise with a public cloud provider (AWS, GCP, Azure) and IaaS (e.g., EC2).
• Experience with data storage, ingestion, and transformation (Spark, Kafka).
• Passion for solving data problems at scale and strong communication across teams.

Responsibilities

• Build a cutting-edge cloud-native database platform on top of the public cloud.
• Work on our in-house Kubernetes operator for seamless infrastructure management.
• Improve the metrics pipeline and build systems for better statistics and recommendations.
• Collaborate with core development and data plane teams to support infra use cases and improvements.
• Architect and build a robust, scalable, highly available distributed infrastructure.

Skills

Go

C++

Java

Distributed systems

On-call

Cloud platforms

Spark

Kafka

Data ingestion

Data storage

Kubernetes

PagerDuty

Tools

Kubernetes

PagerDuty

Job description

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 4,000 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 this role in US Premium Markets is

$157,000—$232,000 USD

Compensation

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.

An individual’s placement within the range will depend on various fa