Platform Infrastructure Engineer for Scalable AI

Rad AI; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental, Vision & Life insurance

401(k)

Flexible PTO policy

Annual equipment stipend

11 Paid Company Holidays

Job summary

Rad AI is seeking multiple Infrastructure Engineers to join our growing team in San Francisco. This role focuses on designing scalable cloud infrastructure using AWS and Kubernetes, mentoring engineers, and improving platform reliability. Candidates should have strong AWS experience and proficiency in tools like Terraform and Docker. Join us to work on AI-driven solutions that significantly impact healthcare and transform patient care.

Qualifications

• 4+ years of hands-on infrastructure/platform development experience.
• Deep expertise with AWS/GCP including networking and compute.
• Strong experience with Kubernetes and container orchestration.

Responsibilities

• Influence technical direction for infrastructure and platform capabilities.
• Architect and evolve cloud infrastructure across AWS.
• Define and drive infrastructure strategy for the Platform organization.

Skills

Infrastructure development

AWS expertise

Kubernetes

Python programming

Linux fundamentals

Network debugging

Education

4+ years of hands-on experience in cloud-native environments

Tools

Terraform

Git

Docker

Job description

Rad AI is seeking multiple Infrastructure Engineers to join our growing team in San Francisco. This role focuses on designing scalable cloud infrastructure using AWS and Kubernetes, mentoring engineers, and improving platform reliability. Candidates should have strong AWS experience and proficiency in tools like Terraform and Docker. Join us to work on AI-driven solutions that significantly impact healthcare and transform patient care.