ClickHouseSenior Cloud Data Infrastructure Engineer (US Remote)
ClickHouse is hiring a Senior Cloud Data Infrastructure Engineer (US Remote) for a remote role open to applicants in United States. It pays $150k-$230k a year and Level rates it ; you can apply on ClickHouse.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include Kubernetes, AWS and Google Cloud.
- Level classifies it as a senior role.
- Level lists 206 other open roles at ClickHouse.
AI in this role
Build and scale cloud-native database infrastructure to transform ClickHouse into a fully functional serverless solution.
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 (US Remote) at ClickHouse rates 0 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where database internals was part of your work. What did you do?
- Tell me about a project where go was part of your work. What did you do?
- Tell me about a project where c was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Cloud Infrastructure, Database Internals, Go, and C. 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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