Rad AI
Healthcare
StaffSoftwareEngineer,Infrastructure
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Software Engineer, Infrastructure at Rad AI. Influence technical direction. Architect cloud infrastructure”
What You'll Achieve.
Reduce burnout; Improve patient care; Uncover cancer diagnoses; Reduce error rates; Support radiology groups; Support healthcare systems; Support medical imaging; Ship reliably; Ship safely; Ship at scale; Operate reliably at scale; Meet HIPAA requirements; Meet healthcare requirements; Reduce cognitive load
Industry & Context.
Debugging issues; Root cause analysis
What They're Looking For.
Must Have
8+ years infrastructure development, 8+ years platform development, Production critical systems ownership, Deep AWS expertise, Proficient in Python, Extensive tooling experience, Extensive automation experience, Kubernetes experience, Docker experience, Container orchestration experience, Operate systems at scale, Infrastructure as Code experience, Git-based workflows experience, Solid Linux fundamentals, Debugging OS layer, Debugging networking layer, Debugging application layer, Lead complex initiatives, Communicate tradeoffs, Align stakeholders, De-risk launches, Measure impact, Communicate clearly, Communicate empathetically, Mentor engineers, Data-informed approach, Pragmatic approach
Nice to Have
GCP expertise, Pulumi experience, Experience in regulated environments, Healthcare experience, Healthtech experience, Platform engineering background, Security engineering background, Access control experience, Encryption experience, Auditability experience, Compliance experience, Experience with ML teams, Experience with data teams, ML platforms experience, Airflow experience, Ray experience, ML pipelines experience, Model serving stacks experience, Observability stacks familiarity, Internal developer platforms experience, SDKs experience, Reusable frameworks experience, Startup 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 stakeholders
Ensure infrastructure compliance
Ensure operational compliance
Advocate developer experience
Implement developer experience
How You'll Work.
Team & Collaboration
Cross-functional teams; Platform leadership; Product engineering; Data teams; ML teams; Engineering leadership; Security stakeholders; Compliance stakeholders
Communication Scope
Communicate tradeoffs; Communicate clearly; Communicate empathetically
Process & Methodology
Roadmaps, Sequencing work
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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