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.