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.

What You'll Do

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 NoSQL systems at scale

Implement infrastructure security, networking, and access control frameworks

Required (Dealbreakers)

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

Hands-on experience with infrastructure-as-code tools such as Terraform, CloudFormation, 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 NoSQL 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

Location

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

Compensation & Benefits

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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