Rad AI
Healthcare
SoftwareEngineer,Infrastructure(AllLevels)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer, Infrastructure (All Levels) at Rad AI. Skills: Cloud infrastructure, Platform engineering, Reliability engineering, Kubernetes operations. Influence technical direction. Architect cloud infrastructure”
Industry & Context.
Data-informed decision making; Pragmatic approach
What They're Looking For.
Must Have
4+ years infrastructure/platform development experience, Own critical systems in production
Nice to Have
AWS expertise preferred, GCP expertise preferred, HIPAA experience, Healthcare/health tech experience, Platform/security engineering background, Experience with ML platforms, Familiarity with observability stacks, Experience designing internal developer platforms, Startup scaling experience
What You'll Do.
Influence technical direction
Architect cloud infrastructure
Evolve cloud infrastructure
Design robust systems
Design observable systems
Design compliant systems
Define infrastructure strategy
Drive infrastructure strategy
Secure access patterns
Improve operational excellence
Lead post-incident reviews
Own observability strategy
Own monitoring strategy
Guide architecture decisions
Partner with security
Partner with compliance
Ensure HIPAA compliance
Advocate developer experience
Implement developer experience
How You'll Work.
Team & Collaboration
Platform leadership; Product engineering; Data teams; ML teams; Engineering leadership; Security stakeholders; Compliance stakeholders; Cross-team initiatives
Communication Scope
Communicate tradeoffs; Communicate clearly; Communicate empathetically
Process & Methodology
Roadmap planning
Full Job Description
ABOUT RAD AI At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%. Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission. If you’re ready to shape the future of healthcare, we’d love to have you on our team! Why Join Us The Platform Engineering organization at Rad AI builds the foundations that power all of our products—Reportin
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