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Home Remote jobs ClickHouse Release Engineer - Data Plane Internal Tooling and...

Release Engineer - Data Plane Internal Tooling and Productivity

ClickHouse · posted Sep 9, 2026
Remote Full-time Data & AI Asia-Pacific

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

Perks

  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 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.

  • A USD$500 Home office setup if you’re a remote employee.

  • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.

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About this job

  • CompanyClickHouse
  • LocationAustralia; Singapore
  • Job typeFull-time
  • CategoryData & AI
  • Posted1 month ago

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