Founding Cloud Infrastructure Engineer
Remote
Job Summary
Design and build cloud infrastructure from the ground up to power a production-grade semantic AI platform, owning the full lifecycle from initial architecture through deployment, scaling, and ongoing operations. Establish best practices, standards, and tooling in this greenfield environment, while architecting and managing database infrastructure including relational and NoSQL systems at scale. Implement infrastructure security, networking, and access control policies, alongside CI/CD pipelines and deployment automation systems. Configure infrastructure monitoring, observability, and logging systems to ensure reliability for AI agents operating in regulated industries like insurance, banking, and healthcare. This on-site role in San Mateo, CA requires 5+ years of cloud infrastructure experience and offers visa sponsorship.
Required Qualifications
- 5+ years building and operating cloud infrastructure systems in production environments
- Hands-on experience designing and deploying infrastructure-as-code (Terraform, CloudFormation, Pulumi, or equivalent)
- Proven experience architecting and managing Kubernetes clusters or container orchestration platforms in production
- Deep familiarity 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
- Experience with infrastructure monitoring, observability, and logging (e.g., Prometheus, ELK, Datadog, New Relic)
- Experience designing and managing relational and NoSQL database infrastructure at scale
- Strong understanding of infrastructure security, networking, and access control
- Comfort operating in early-stage environments — you define the playbook, not follow it
Desired Qualifications
- 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 startup engineering experience
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