Senior Cloud Software Engineer - AutoScaling

Confirmed live in the last 24 hours

Clickhouse

Compensation

$133,450 - $232,000/year

United States (Remote)

Remote

Posted March 27, 2026

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 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 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.

What will you do?

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

About you:

5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
Experience building operators with Kubernetes, controller runtime
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 with Python (uv, fastAPI) Data Science (Pandas, NumPy etc) is good to have.
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

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