Senior Infrastructure Engineer

at  Rad AI

ABOUT RAD AI

We have raised $80+ million to date from venture funds and just closed on our series B financing with investors Khosla Ventures, Gradient (Google’s AI fund) and ARTIS. We’ve also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. We’re recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie. Come join us in transforming healthcare with AI!
Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%.
Why Join Us:
We’re on the lookout for a Senior Infrastructure Engineer with a focus on DevOps to join our engineering team. In this role, you’ll play a pivotal part in architecting a robust, scalable infrastructure, elevating our system reliability practices, and driving innovation in our workflows. If you’re passionate about creating resilient systems and enjoy collaborating with cross-functional teams, this role is perfect for you.

REQUIREMENTS:

• A data-driven approach with a knack for quick and effective problem resolution.
• Minimum 7 years of infrastructure experience with proficiency in Python (preferred), Bash, IaC (Terraform, Pulumi) and/or other industry-standard languages.
• Strong familiarity with AWS and/or GPC services.
• Networking expertise and comfort working with command-line Linux.
• Exceptional communication, organizational, delegation, and feedback skills.
• Ability to design complex systems and mentor others in technical design.
• Proficiency in deep Linux troubleshooting, including debugging kernel and driver issues.
• Ability to scope project level work and execute independently, bringing projects to completion.

• Architect and build infrastructure for our platform, utilizing container orchestration tools (preferably Kubernetes), serverless applications (e.g., Lambda), virtual machines like EC2 (or equivalents in GCE or Azure), and databases.
• Collaborate closely with engineering leaders, machine learning, data science, and product teams to define our Platform vision.
• Develop and maintain efficient tooling to enhance the productivity of our engineering team.
• Promote sustainable incident response practices and conduct blameless postmortems.
• Oversee network and systems monitoring, devise alert strategies, and join a 24x7 five-engineer on-call rotation.