About the Role
Build and own the cloud infrastructure behind an enterprise AI platform. This foundational role will shape infrastructure architecture and establish the practices needed to deploy and scale reliable, secure systems.
What You'll Do
Design and build cloud infrastructure from the ground up, from initial architecture through production deployment and scaling.
Make foundational decisions about cloud architecture, infrastructure tooling, and operational standards.
Build and operate container orchestration, deployment automation, and infrastructure-as-code systems.
Establish monitoring, observability, logging, security, and access control for production infrastructure.
Develop database and data infrastructure that supports the platform's needs.
What We're Looking For
Approximately 5 to 12 years of experience, including at least 5 years building and operating production cloud infrastructure.
Hands-on experience with AWS, GCP, Azure, or a comparable cloud platform, including networking, storage, compute, and managed services.
Experience designing and managing production Kubernetes clusters or other container orchestration platforms.
Experience with infrastructure as code tools such as Terraform, CloudFormation, or Pulumi, and with CI/CD pipelines and deployment automation.
Familiarity with monitoring and logging tools such as Prometheus, ELK, Datadog, or New Relic.
Experience with relational and NoSQL database infrastructure, infrastructure security, networking, and access control.
Comfort building systems and setting standards in an early-stage or high-growth environment. Background in data infrastructure, graph or semantic systems, or AI/ML platforms is a plus.
Compensation & Benefits
Visa sponsorship is available.
Location
On-site in San Mateo, California, United States.
From the posting on Clera's job site. Read the original before you apply.