Clera
Founding Cloud Infrastructure Engineer
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 CleraLikely 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?