Cloud Platform Engineer - Control Plane

ClickHouse ClickHouse · Data AI · EMEA · Engineering

This role is for a Cloud Platform Engineer focused on the Control Plane infrastructure at ClickHouse, a company that handles AI workloads. The engineer will design, implement, and maintain scalable, secure, and highly available cloud infrastructure using AWS services, Kubernetes, and Infrastructure as Code. Responsibilities include automation, load balancing, disaster recovery, security best practices, and performance optimization. The role requires significant experience in cloud infrastructure engineering, Kubernetes, and API design.

What you'd actually do

  1. Design, implement and maintain scalable, highly available, and secure cloud-based infrastructure in AWS (EKS, SQS, DocumentDB, Redis, PostgreSQL, Lambdas)
  2. Experience with containerization technologies (Docker, Kubernetes) and orchestration platforms
  3. Automate the provisioning of cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, AWS CDK, CloudFormation, or ARM templates
  4. Define and implement strategies for load balancing, auto-scaling, disaster recovery, and failover for cloud environments
  5. Collaborate with cross-functional teams to ensure seamless integration, scalability, and security of cloud environments

Skills

Required

  • Kubernetes
  • SQS
  • RDBMS
  • Node.JS
  • Cloud architecture
  • Networking
  • Security
  • API design
  • Infrastructure as Code (Terraform, AWS CDK, CloudFormation, or ARM templates)
  • Docker
  • Load balancing
  • Auto-scaling
  • Disaster recovery
  • Failover
  • IAM
  • CI/CD pipelines

Nice to have

  • React
  • ClickHouse
  • Analytics applications
  • Data-intensive applications

What the JD emphasized

  • 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