Founding Cloud Infrastructure Engineer

Role details

ABOUT THE ROLE This is a founding infrastructure role at an early-stage enterprise AI startup, giving you the opportunity to design and build cloud systems entirely from scratch. You'll own every layer of infrastructure that powers a semantic platform used in highly regulated industries — from initial architecture through production scaling. Your decisions here will define how the company operates for years to come. WHAT YOU'LL DO - Design and build cloud infrastructure from the ground up to support an enterprise-grade semantic platform. - Own the full infrastructure lifecycle — from architectural planning through deployment and ongoing scaling. - Implement infrastructure-as-code, CI/CD pipelines, and deployment automation systems. - Architect and manage Kubernetes clusters and container orchestration platforms in production. - Build and maintain monitoring, observability, and logging systems across the stack. - Design and implement database infrastructure — both relational and NoSQL — at scale. - Establish security, networking, and access control standards from the ground up. - Set foundational best practices that the engineering team will build on long-term. WHAT WE'RE LOOKING FOR - 5+ years of hands-on experience building and operating cloud infrastructure in production environments. - Strong proficiency with at least one major cloud platform (AWS, GCP, or Azure), including networking, storage, compute, and managed services. - Proven experience with infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi. - Production experience architecting and managing Kubernetes or other container orchestration systems. - Experience building CI/CD pipelines and deployment automation. - Familiarity with observability tooling (e.g., Prometheus, ELK stack, Datadog, or New Relic). - Experience implementing infrastructure security, networking, and access control. - Comfort operating autonomously in early-stage environments with ambiguity and high ownership. - Nice to have: experience with data pipelines, knowledge graphs, graph databases, semantic systems, or ML/AI platform infrastructure. LOCATION On-site in San Mateo, CA, United States. Visa sponsorship is available.