Level

ClickHouse

Senior Cloud Data Infrastructure Engineer (APJ Remote)

ClickHouse is hiring a Senior Cloud Data Infrastructure Engineer (APJ Remote) for a remote role open to applicants in Singapore. Level rates it ; you can apply on Level.

AI in this role

Build and scale cloud-native database infrastructure and serverless storage systems.

kubernetespagerdutyawsgcpazuresparkkafka
distributed-systemsdatabase-infrastructurecloud-computing

About the team

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

 

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

Senior Cloud Data Infrastructure Engineer (APJ Remote) 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. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsDatabase InfrastructureCloud ComputingKubernetesPagerdutyAWSGoogle CloudAzure

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 database infrastructure was part of your work. What did you do?
  3. Tell me about a project where cloud computing was part of your work. What did you do?
  4. What's a project where you used Kubernetes hands-on?
  5. Walk me through how you've used Pagerduty in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Database Infrastructure, Cloud Computing, Kubernetes, and Pagerduty. 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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