Staff Infrastructure Engineer

Rad AI, a rapidly growing healthcare AI company, is seeking a Staff Infrastructure Engineer with a focus on DevOps to join their engineering team. This role is crucial in architecting a robust, scalable infrastructure and elevating system reliability practices.

Rad AI has raised over $80 million in funding and has formed a partnership with Google to collaborate on the future of generative AI in healthcare. They are recognized as one of the most promising healthcare AI companies, with their technology being used by more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger.

The ideal candidate will have at least 8 years of infrastructure experience, with proficiency in Python, Bash, and Infrastructure as Code tools. They should be comfortable with AWS or GCP services, have strong networking expertise, and be skilled in Linux troubleshooting. The role involves architecting and building infrastructure using tools like Kubernetes, serverless applications, and various cloud services.

Key responsibilities include collaborating with cross-functional teams to define the Platform vision, developing tooling to enhance engineering productivity, and overseeing network and systems monitoring. The successful candidate will also be part of a 24x7 on-call rotation.

Rad AI offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k), flexible PTO, and a remote-first work environment. This is an excellent opportunity for someone passionate about creating resilient systems and driving innovation in healthcare through AI technology.