Join an early-stage AI infrastructure company as its founding cloud infrastructure engineer. You will design and build the cloud systems behind a platform that helps enterprise AI agents use reliable, governed business context.
Design and build production cloud infrastructure from the ground up, guiding architecture through deployment and scaling.
Own infrastructure decisions and establish standards and practices for a growing engineering team.
Build and operate Kubernetes or comparable container orchestration platforms and infrastructure-as-code systems.
Develop CI/CD pipelines, deployment automation, monitoring, observability, and logging.
Design secure cloud networking, access controls, and database infrastructure for relational and NoSQL systems.
Support data infrastructure and pipelines that power the platform.
Five or more years building and operating production cloud infrastructure, with roughly 5 to 12 years of overall experience.
Hands-on experience with AWS, GCP, or Azure, including compute, storage, networking, and managed services.
Strong infrastructure-as-code experience with tools such as Terraform, CloudFormation, or Pulumi.
Production experience architecting and managing Kubernetes or another container orchestration platform.
Experience with CI/CD, infrastructure observability and logging, cloud security, and access control.
Experience designing database infrastructure for relational and NoSQL systems at scale.
Comfort building from scratch in an early-stage or high-growth environment, with a stable work history and full-time availability.
Experience with data infrastructure, knowledge graphs, graph databases, or AI/ML platforms is helpful.
Visa sponsorship is available. Salary and equity details were not provided.
On-site in San Mateo, California, United States.