Rad AI
Senior Software Engineer, Infrastructure
United States · Senior · Full-time
Sponsorship not specifiedDetected 114 days ago
PythonBashAWSGCPCloud PlatformsKubernetesTerraformLinuxGrafanaPlatform EngineeringMachine LearningSparkData ScienceLLMsIncident ResponseComplianceValuationHIPAAHL7/FHIREHR/EMRPatient CareRadiologyLeadershipCommunication
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
- 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.
- Develop and maintain tooling that improves engineering productivity and developer experience.
- Promote sustainable incident response and lead blameless post-incident reviews.
- Manage network and systems monitoring, design alert strategies, and participate in an equitable on‑call rotation.
- Experience designing complex systems and mentoring others in technical design.
- 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.
- 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 scale.
- Within Platform, the Infrastructure team owns our core cloud infrastructure, platforms, and reliability practices.
- We're hiring a Senior Software Engineer to help us design and operate robust, scalable systems.
- If you're passionate about building resilient platforms and enjoy collaborating across functions, we'd love to hear from you.
Requirements
- Proficiency in deep Linux troubleshooting, including debugging kernel and driver issues.
- Experience with OpenTelemetry or similar tracing services.
- Experience with Spark (e.g., EMR, Dataproc, HDInsight) and Hadoop‑related technologies.
Nice to have
- A data‑informed approach and a track record of effective problem solving.
- Bring 6+ 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.
- Extensive experience operating Kubernetes in production, including familiarity with cluster lifecycle management, scaling, and container security.
- Proficiency in one or more languages-Python (preferred) and/or Bash-and familiarity with Infrastructure as Code (IaC) tools such as CDK, Terraform or Pulumi.
- Strong familiarity with AWS and/or GCP services.
- Networking fundamentals and comfort working in command‑line Linux environments.
- Clear, respectful communication and collaboration skills, including organizing work, delegating when appropriate, and giving/receiving feedback.
- Ability to scope project-level work, execute independently, and bring projects to completion while collaborating with teammates.
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.
- Background in healthcare, security, or machine learning.
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.