Rad AI
Software Engineer, Infrastructure (All Levels)
San Francisco · Principal · Full-time
Sponsorship not specifiedDetected 43 days ago
PythonGitAWSGCPCloud PlatformsDockerKubernetesTerraformCI/CDLinuxGrafanaPlatform EngineeringMachine LearningAirflowLLMsCybersecurityComplianceDesign SystemsValuationHIPAAPatient CareRadiologyLeadershipCollaboration
About the role
- 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.
- If you're ready to shape the future of healthcare, we'd love to have you on our team!
Responsibilities
- Influence the technical direction for infrastructure and platform capabilities that support our rapidly growing AI product suite.
- Architect and evolve our cloud infrastructure (primarily on AWS) across container orchestration (Kubernetes, Elastic Container Service), serverless (e.g., Lambda), virtual machines (e.g., EC2), and data stores to support current and future products.
- Define and drive infrastructure strategy for the Platform org-partnering with engineering leadership to align roadmaps, set standards, and sequence work for maximum business impact.
- Own observability and monitoring strategy across logging, metrics, and tracing, ensuring we can detect, debug, and prevent issues efficiently.
- Mentor and level up engineers across Platform and product teams-reviewing design docs, guiding architecture decisions, and modeling high standards for reliability, security, and maintainability.
- 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.
- Extensive experience building tooling and automation for other engineers.
- Have demonstrable experience leading complex, cross-team initiatives from design through rollout-communicating tradeoffs, aligning stakeholders, de-risking launches, and measuring impact.
- Communicate clearly and empathetically with both technical and non-technical partners, and enjoy mentoring engineers at multiple levels.
- Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care-making a meaningful impact on millions of lives.
Requirements
- Have strong experience with Kubernetes, containers (Docker), and container orchestration, and understand how to operate these systems reliably at scale.
Nice to have
- Have deep expertise with AWS (preferred) and/or GCP, including core networking, compute, storage, and managed services.
- Are highly proficient in at least one programming/scripting language used for infrastructure work (Python preferred).
- Are comfortable with Infrastructure as Code (Terraform preferred, Pulumi, or similar) and Git-based workflows.
Compensation
- Annual company-wide offsite
Benefits
- At Rad AI, we're on a mission to transform healthcare with artificial intelligence.
- 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.
- Work closely with Platform leadership, product engineering, data, and ML teams to design systems that are robust, observable, and compliant in a healthcare environment.
- Partner with security and compliance stakeholders to ensure our infrastructure and operational practices meet HIPAA and other healthcare requirements.
- Experience in regulated environments (e.g., HIPAA) or prior work in healthcare or health tech.
- Prior experience at a fast-growing startup where you've helped scale infrastructure, processes, and teams.
Company info
- Who We're Looking For
- Founded by a radiologist, our AI-driven solutions are revolutionizing radiology-saving time, reducing burnout, and improving patient care.
- 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.
This listing is sourced directly from Rad AI's careers page and normalized into a canonical job model.