About the Role
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.
What You’ll Do

• 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.

What We’re Looking For

• 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.

Compensation & Benefits
Visa sponsorship is available. Salary and equity details were not provided.
Location
On-site in San Mateo, California, United States.

About the Role
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.
What You’ll Do

• 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.

What We’re Looking For

• 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.

Compensation & Benefits
Visa sponsorship is available. Salary and equity details were not provided.
Location
On-site in San Mateo, California, United States.