Job description

ABOUT THE ROLE Join an early-stage AI infrastructure team as its founding cloud infrastructure engineer. You will build the cloud foundation for an enterprise platform that helps AI systems work with business data reliably and securely. WHAT YOU'LL DO - Design and build cloud infrastructure from the ground up to support the platform. - Own infrastructure decisions from initial architecture through deployment, operation, and scaling. - Establish infrastructure standards and practices suited to an early-stage environment. - Develop reliable systems that support data-intensive and AI workloads. WHAT WE'RE LOOKING FOR - Five or more years of experience building and operating production cloud infrastructure, with approximately 5 to 12 years of overall experience. - Hands-on experience with infrastructure as code using tools such as Terraform, CloudFormation, or Pulumi. - Production experience architecting and managing Kubernetes clusters or other container orchestration platforms. - Experience with AWS, GCP, or Azure, including networking, storage, compute, managed services, security, and access control. - Experience building CI/CD pipelines and deployment automation, as well as monitoring, observability, and logging systems. - Experience designing database infrastructure for relational and NoSQL systems at scale. - Evidence of startup-speed execution and building systems from scratch, with stable employment history. - Data infrastructure, data pipelines, knowledge graphs, graph databases, or machine learning infrastructure experience is a plus. COMPENSATION & BENEFITS Visa sponsorship is available. Compensation and benefits details were not provided. LOCATION On-site in San Mateo, California, United States.

Requirements

Must-haves

Design and build cloud infrastructure from the ground up to support the platform.
Own infrastructure decisions from initial architecture through deployment, operation, and scaling.
Establish infrastructure standards and practices suited to an early-stage environment.
Develop reliable systems that support data-intensive and AI workloads.
Five or more years of experience building and operating production cloud infrastructure, with approximately 5 to 12 years of overall experience.
Hands-on experience with infrastructure as code using tools such as Terraform, CloudFormation, or Pulumi.
Production experience architecting and managing Kubernetes clusters or other container orchestration platforms.
Experience with AWS, GCP, or Azure, including networking, storage, compute, managed services, security, and access control.
Experience building CI/CD pipelines and deployment automation, as well as monitoring, observability, and logging systems.
Experience designing database infrastructure for relational and NoSQL systems at scale.
Evidence of startup-speed execution and building systems from scratch, with stable employment history.
On-site in San Mateo, California, United States.

Nice-to-haves

Data infrastructure, data pipelines, knowledge graphs, graph databases, or machine learning infrastructure experience is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesawsgcpazureci/cdmachine learning

Platform: ashby
Effort: quick