Job description
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
What We're Looking For
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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.