Founding Cloud Infrastructure Engineer

About the Role

We are a well-funded, early-stage company building an enterprise context layer that makes AI agents reliable, accurate, and secure for critical business operations in highly regulated industries such as insurance, asset management, banking, healthcare, and logistics. Our platform automatically builds a holistic domain model across enterprise data — mapping relationships, resolving conflicts, and delivering real-time, governed context to AI agents at runtime.

We're looking for a Founding Cloud Infrastructure Engineer to design, build, and own the cloud infrastructure powering our semantic platform. This is a build-from-scratch role — you won't be maintaining legacy systems. You'll be making foundational architectural decisions that shape the company for years to come.

• Design and build cloud infrastructure from the ground up to power a production-grade semantic AI platform

• Own the full lifecycle of infrastructure decisions — from initial architecture through deployment and scaling

• Make foundational cloud infrastructure choices with long-term organizational implications

• Establish best practices, standards, and tooling in a greenfield environment

• Build and maintain CI/CD pipelines and deployment automation systems

• Implement infrastructure monitoring, observability, and logging systems

• Design and manage database infrastructure across relational and No
  
  SQL systems at scale

• Implement infrastructure security, networking, and access control frameworks

Required (Deal breakers):

• 5+ years designing and operating cloud infrastructure systems in production environments

• Hands-on experience with infrastructure-as-code tools such as Terraform, Cloud Formation, or Pulumi

• Proven experience architecting and managing Kubernetes clusters or container orchestration platforms in production

Required Skills:

• Deep experience with at least one major cloud platform (AWS, GCP, or Azure) — including networking, storage, compute, and managed services

• Experience building and maintaining CI/CD pipelines and deployment automation

• Familiarity with observability and logging tools (e.g., Prometheus, ELK stack, Datadog, New Relic)

• Experience designing database infrastructure including relational and No
  
  SQL systems at scale

• Strong security, networking, and access control implementation background

• Comfort operating in early-stage environments — setting standards, not following playbooks

Nice to Have:

• Experience building data infrastructure or data pipeline systems

• Familiarity with knowledge graphs, semantic systems, or graph databases

• Experience with machine learning infrastructure or AI/ML platform systems

• Prior founding or early-stage startup experience

This role is based on-site in San Mateo, CA
. Visa sponsorship is not available for this position.

Compensation details were not specified for this role. As a well-funded early-stage company, we offer competitive compensation including equity commensurate with a founding team member's impact and scope.

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