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Founding Cloud Infrastructure Engineer

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Summary

Founding cloud infrastructure engineer at an early-stage AI infrastructure company (on-site in San Mateo, CA). Builds production cloud systems from scratch on AWS/GCP/Azure — Kubernetes, infrastructure-as-code, CI/CD, monitoring, secure networking, and relational/NoSQL databases — for a platform giving enterprise AI agents governed business context.

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.

Skills

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See also

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