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Clera

Founding Cloud Infrastructure Engineer

San MateofulltimemidAdded 2 days ago

About this role

Join an early-stage AI infrastructure startup as a founding Cloud Infrastructure Engineer to design and build production-grade cloud infrastructure from scratch for a semantic platform serving regulated enterprises. You'll own full-stack infrastructure decisions, establish best practices, and architect systems that will scale the company for years.

What you'll do

  • Design and build production-grade cloud infrastructure architecture from the ground up
  • Own full lifecycle of infrastructure decisions from architecture through deployment and scaling
  • Establish infrastructure best practices, standards, and tooling in a greenfield environment
  • Build and maintain CI/CD pipelines and deployment automation systems
  • Architect and manage Kubernetes clusters and container orchestration in production
  • Implement monitoring, observability, logging, security, networking, and database infrastructure at scale

What they're looking for

  • Cloud platforms (AWS, GCP, or Azure)
  • Infrastructure-as-code (Terraform, CloudFormation, or Pulumi)
  • Kubernetes and container orchestration
  • CI/CD pipeline design and automation
  • Database infrastructure (relational and NoSQL)
  • Cloud networking and security
  • Startup-speed execution and greenfield development
  • Infrastructure monitoring and observability
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

View all jobs at Clera

Likely interview questions

  • Walk us through a major cloud infrastructure project you architected from scratch—what were the key decisions and tradeoffs?
  • Describe your experience with infrastructure-as-code tools like Terraform. How do you approach version control and state management at scale?