AI Platform Infra Engineer — Scale Kubernetes & Cloud

Brain Co.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Brain Co. builds AI-native operating systems for large, regulated institutions, delivering secure, scalable infrastructure across customer environments.

You will design and scale Kubernetes- and Terraform-based systems, set standards for networking and CI/CD, and drive reliable AI workloads from production to scale. You will mentor engineers, collaborate with technical leaders, and help ensure systems withstand fast-growing and unpredictable workloads while maintaining security and observability

Qualifications

• 5+ years building large-scale backend or infra systems.
• Know Kubernetes, Terraform, cloud networking, orchestration, and observability tools.
• Bring strong distributed systems, performance, and incident-response experience.
• Work well with customers and teams to deliver reliable solutions.
• Thrive in high-agency environments and set engineering standards.
• Enjoy ambiguity, autonomy, and solving tough infra problems.

Responsibilities

• 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.

Skills

Distributed systems

Performance

Incident response

Customer collaboration

Autonomy

Ambiguity tolerance

Tools

Kubernetes

Terraform

Cloud networking

Observability tools

Job description

Brain Co. builds AI-native operating systems for large, regulated institutions, delivering secure, scalable infrastructure across customer environments.

You will design and scale Kubernetes- and Terraform-based systems, set standards for networking and CI/CD, and drive reliable AI workloads from production to scale. You will mentor engineers, collaborate with technical leaders, and help ensure systems withstand fast-growing and unpredictable workloads while maintaining security and observability