Founding Cloud Infrastructure Engineer

Job description

### About the Role This is a founding, build-from-scratch Cloud Infrastructure Engineer role at an early-stage AI infrastructure startup serving regulated enterprise industries. You will own the full cloud infrastructure stack that powers a semantic platform for AI agents, making architectural decisions that will define how the company scales for years to come. ### What You'll Do - Design and build cloud infrastructure from the ground up to support a production-grade semantic platform. - Own the full lifecycle of infrastructure decisions, from initial architecture through deployment and scaling. - Establish best practices, standards, and tooling in an environment where none yet exist. - Build and maintain CI/CD pipelines and deployment automation systems. - Architect and manage Kubernetes clusters and container orchestration platforms in production. - Implement infrastructure monitoring, observability, and logging systems. - Design and operate database infrastructure, including relational and NoSQL systems at scale. - Implement infrastructure security, networking, and access control across cloud environments. ### What We're Looking For - 5 to 12 years of experience building and operating cloud infrastructure systems in production environments. - Hands-on experience designing and deploying infrastructure-as-code using tools such as Terraform, CloudFormation, or Pulumi. - Proven experience architecting and managing Kubernetes clusters or equivalent container orchestration platforms in production. - Strong background with major cloud platforms, including AWS, GCP, or Azure, covering networking, storage, compute, and managed services. - Track record of startup-speed execution and comfort building systems from scratch, rather than primarily maintaining existing infrastructure. - Stable employment history with demonstrated ownership of end-to-end infrastructure projects. - Experience with data pipeline or data infrastructure systems is a plus. - Familiarity with knowledge graphs, semantic systems, or graph databases is a plus. - Experience with ML infrastructure or AI/ML platform systems is a plus. - Prior experience in early-stage or high-growth startup environments is a plus. ### Location On-site in San Mateo, California, United States. Visa sponsorship is available.