[Hiring] Cloud Platform Engineer - Control Plane @ClickHouse

Role Description

The Control Plane Infrastructure team develops and manages the foundational resources and tools for the Control Plane Platform. This includes compute, storage, networking, security, and a multi-region architecture that provides a reliable and scalable managed Cloud Console experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud platform engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.

• Design, implement and maintain scalable, highly available, and secure cloud-based infrastructure in AWS (EKS, SQS, DocumentDB, Redis, PostgreSQL, Lambdas)
• Experience with containerization technologies (Docker, Kubernetes) and orchestration platforms
• Automate the provisioning of cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, AWS CDK, CloudFormation, or ARM templates
• Define and implement strategies for load balancing, auto-scaling, disaster recovery, and failover for cloud environments
• Collaborate with cross-functional teams to ensure seamless integration, scalability, and security of cloud environments
• Enhancing DevX
• Helping with instrumentation of cloud monitoring and alerting solutions
• Work with the security team to implement security best practices, including identity and access management (IAM), network security, encryption, and compliance controls within the cloud infrastructure
• Identify and correct bottlenecks and fix bugs

Qualifications

• Minimum 6+ years of experience in cloud infrastructure engineering or related roles
• Strong proficiency in Kubernetes, SQS, RDBMS, Node.JS
• Deep understanding of cloud architecture, networking, and security
• Proven experience designing and operating large-scale public and internal APIs
• Excellent problem-solving skills and attention to detail
• Knowledge of CI/CD pipelines

Preferred Qualifications

• Proficiency with frontend frameworks (React)
• Experience with ClickHouse
• Previous experience in developing analytics or data-intensive applications

Compensation

The typical starting salary for this role in the US is $185,000 — $204,000 USD. The typical starting salary for this role in US Premium Markets is $206,500 — $252,000 USD.

For roles based in the United States, the 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, please get in touch with us at [email protected].

Perks

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 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 $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 our first 500 employees, you will be instrumental in shaping our culture.

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.