Level

ClickHouse

Release Engineer - Data Plane Internal Tooling and Productivity

ClickHouse is hiring a Release Engineer - Data Plane Internal Tooling and Productivity for a remote role open to applicants in Australia. Level rates it ; you can apply on ClickHouse.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • This is listed as a remote role.
  • The posting mentions Kubernetes, AWS and Azure among its tools and skills.
  • Level classes it as a senior role.
  • ClickHouse has 202 other open roles on Level.

AI in this role

Operate stateful distributed systems and build internal release tooling and automation for ClickHouse Cloud.

kubernetesawsazuregcpgo
distributed-systemsrelease-managementdatabase-operationsinfrastructure

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.

How we rate this

Release Engineer - Data Plane Internal Tooling and Productivity at ClickHouse rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsRelease ManagementDatabase OperationsInfrastructureKubernetesAWSAzureGoogle Cloud

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where release management was part of your work. What did you do?
  3. Tell me about a project where database operations was part of your work. What did you do?
  4. Tell me about a project where infrastructure was part of your work. What did you do?
  5. Walk me through how you've used Kubernetes in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Release Management, Database Operations, Infrastructure, and Kubernetes. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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