Staff Software Engineer, Infrastructure
AI summary of the role
Rad AI is hiring a Staff Software Engineer for the Infrastructure team within Platform Engineering.
What you’ll do
- Influence the technical direction for infrastructure and platform capabilities supporting the AI product suite.
- Architect and evolve cloud infrastructure on AWS across container orchestration, serverless, VMs, and data stores.
- Define and drive infrastructure strategy, partnering with engineering leadership to align roadmaps and set standards.
- Improve reliability and operational excellence by defining SLOs, SLIs, and error budgets for core platform services.
What you’ll bring
- 8+ years of hands-on infrastructure/platform development experience in cloud-native environments.
- Deep expertise with AWS, including core networking, compute, storage, and managed services.
- Proficiency in at least one programming/scripting language for infrastructure work (Python preferred).
- Strong experience with Kubernetes, Docker, and container orchestration at scale.
Technologies
AWS · Kubernetes · Docker · Terraform · Python · Lambda · EC2 · Elastic Container Service · Git · Linux
About Rad AI
GenAI platform for radiologists—auto-drafts reports, generates impressions, coordinates patient follow-ups. Used by 40%+ of US health systems.
Series C
Source and classification
Internal deployment & tooling · Evidence for this classification:
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, and ranked by Deloitte 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 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—Reporting, Impressions, and Continuity—and enables product teams to ship reliably, safely, and at
More from the 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, and ranked by Deloitte 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 t [... source excerpt omitted ...] liability, security, and maintainability. Partner with security and compliance stakeholders to ensure our infrastructure and operational practices meet HIPAA and other healthcare requirements. Advocate for and implement developer experience improvements, such as better CI/CD workflows, faster feedback loops, and tooling that reduces cognitive load for product teams. Who We’re Looking For Bring 8+ years of hands-on infrastructure / platform development experience (or equivalent practical experience) in modern, cloud-native environments, with a track record of owning critical systems in production. Have deep expertise with AWS (preferred) and/or GCP, including core networking, com [... source excerpt omitted ...] rientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.
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