About this role
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.
What you will do:
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
What you bring along:
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