Brainco

AI Platform Engineer, Infrastructure

San Francisco, California, United StatesFull timePosted 11 days ago
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ABOUT BRAIN CO.

Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy.

We are building AI applications for the world’s most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries.

Our progress so far:

- Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value

- Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses

- Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work

Company momentum:

- Raised a $55M Series A from leading investors

- Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks

At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate.

We are looking for leaders who want to help bring new technology into institutions that impact millions of people.

WHAT YOU’LL WORK ON:

- Design and scale Kubernetes- and Terraform-based infrastructure across customer environments.

- Define standards for networking, security, CI/CD, and multi-region deployments.

- Build and maintain metrics, logging, tracing, dashboards, and SLOs.

- Diagnose and improve performance across distributed systems and AI workloads.

- Support high-performance inference, data pipelines, and large-scale backend services.

- Ensure systems scale reliably under fast-growing and unpredictable workloads.

- Partner with technical leaders on architecture and mentor engineers.

YOU MIGHT BE A GREAT FIT IF YOU…

- Have 5+ years building large-scale backend or infra systems.

- Know Kubernetes, Terraform, cloud networking, orchestration, and observ...