Founding Cloud Infrastructure Engineer

About the Role

This is a founding, build-from-scratch Cloud Infrastructure Engineer role at an early-stage AI infrastructure startup serving regulated enterprise industries. You will own the full cloud infrastructure stack that powers a semantic platform for AI agents, making architectural decisions that will define how the company scales for years to come.

What You'll Do

• Design and build cloud infrastructure from the ground up to support a production-grade semantic platform.

• Own the full lifecycle of infrastructure decisions, from initial architecture through deployment and scaling.

• Establish best practices, standards, and tooling in an environment where none yet exist.

• Build and maintain CI/CD pipelines and deployment automation systems.

• Architect and manage Kubernetes clusters and container orchestration platforms in production.

• Implement infrastructure monitoring, observability, and logging systems.

• Design and operate database infrastructure, including relational and NoSQL systems at scale.

• Implement infrastructure security, networking, and access control across cloud environments.

What We're Looking For

• 5 to 12 years of experience building and operating cloud infrastructure systems in production environments.

• Hands-on experience designing and deploying infrastructure-as-code using tools such as Terraform, CloudFormation, or Pulumi.

• Proven experience architecting and managing Kubernetes clusters or equivalent container orchestration platforms in production.

• Strong background with major cloud platforms, including AWS, GCP, or Azure, covering networking, storage, compute, and managed services.

• Track record of startup-speed execution and comfort building systems from scratch, rather than primarily maintaining existing infrastructure.

• Stable employment history with demonstrated ownership of end-to-end infrastructure projects.

• Experience with data pipeline or data infrastructure systems is a plus.

• Familiarity with knowledge graphs, semantic systems, or graph databases is a plus.

• Experience with ML infrastructure or AI/ML platform systems is a plus.

• Prior experience in early-stage or high-growth startup environments is a plus.

Location

On-site in San Mateo, California, United States. Visa sponsorship is available.