Release Engineer - Data Plane
ClickHouseEU (remote)Posted 9 March 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!
About the team
The Release Team owns the safe, continuous delivery of ClickHouse Cloud, a managed database platform running tens of thousands of ClickHouse clusters. We are responsible for upgrading and maintaining those clusters at scale, building the internal tooling that makes it possible, and being the last line of defense when something doesn't go according to plan.
About the role
This role is an equal split between operational execution and software development. You are responsible for the operational side: coordinating and running upgrades, dealing with edge cases that don't fit the happy path, and keeping tens of thousands of clusters healthy in production. At the same time, you are building and constantly improving the systems that make the next rollout safer and more automated than the last. If you find satisfaction in both writing the playbook and executing it, including the messy parts, this role is for you.
What you'll do
Plan and execute rolling upgrades across tens of thousands of ClickHouse clusters, ensuring safety, correctness, and minimal customer impact
Own the full release pipeline: from pre-upgrade validation and staged rollouts to post-upgrade monitoring and incident response
Investigate and resolve production issues as part of a regular on-call rotation, including snowflake clusters and edge cases that automation can't yet handle
Build and improve the internal tooling and automation that makes large-scale database operations reliable and repeatable
Work closely with the core database and cloud infrastructure teams to identify operational pain points and turn them into solved problems
Support and educate other engineering teams using our internal tools
About you
5+ years of experience operating stateful distributed systems in production, such as databases, message queues, or storage systems
Hands-on experience running upgrades or maintenance operations on live production data stores, at scale
Strong production debugging skills; you are comfortable digging into unfamiliar systems under pressure
Experience with cloud infrastructure (AWS, Azure, or GCP) and Kubernetes
Software development experience in Go (or strong experience in another language and genuine willingness to learn)
Experience with ClickHouse preferred (as a user, operator or contributor)
#LI-Remote
Compensation
For roles based in the United States , t he 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 factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate ... (truncated, view full listing at source)
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