Cloud Engineer / Platform Engineer / Infrastructure Engineer - San Francisco, CA

US Citizens only. Visa sponsorship is not available.

We're working with one of the most exciting AI startups in San Francisco. While most AI models learn from massive amounts of human-generated data, this team is building something different: environments where AI agents learn by actually using computers and gaining experience. Think reinforcement learning for real-world computer use. Founded by a small team of Princeton graduates, they've recently raised a seed round and are now scaling both their platform and engineering team. As one of the first infrastructure hires, you'll work directly with the CTO to build the cloud platform powering next-generation AI training environments.

What you'll be doing:

Building production cloud infrastructure from the ground up
Designing and scaling Kubernetes-based systems
Owning Terraform and infrastructure-as-code workflows
Creating reliable CI/CD pipelines and deployment processes
Managing PostgreSQL at production scale
Building observability platforms across logs, metrics and traces
Architecting systems that can evolve alongside rapidly advancing AI capabilities

Tech Stack:

GCP, AWS
Terraform, Atlantis
Kubernetes, GKE, Docker
PostgreSQL, Cloud SQL
CI/CD, Cloud Build, Artifact Registry
Prometheus, Grafana, Datadog, OpenTelemetry
IAM, OIDC, Auth0

What we're looking for:

5-12 years operating production cloud infrastructure
Experience building cloud platforms from scratch
Strong Kubernetes and container orchestration expertise
Deep Terraform/IaC experience at scale
Production networking, security and observability knowledge
Startup or high-growth environment experience
Computer Science degree from a top-30 university program

Why join?

Work on one of the hardest and most interesting infrastructure problems in AI
Direct impact on company architecture and technical direction
Small, elite engineering team
Significant ownership from day one
Equity in a well-funded early-stage startup

If you're excited about building the infrastructure that enables AI agents to learn, I'd love to speak with you.

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