Software Engineer, Infrastructure (All Levels)

About Rad AI

At Rad AI were on a mission to transform healthcare with artificial intelligence. Founded by a radiologist our AI-driven solutions are revolutionizing radiologysaving 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 othersall 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 to CNBCs Disruptor 50 list highlighting the innovation and momentum behind our mission.

If youre ready to shape the future of healthcare wed 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 productsReporting Impressions and Continuityand enables product teams to ship reliably safely and at scale. Within Platform the Infrastructure team owns our core cloud infrastructure platforms and reliability practices. Were hiring a multiple Infrastructure Engineers to help us design and operate robust scalable this role youll contribute to infrastructure architecture reliability practices and thoughtful improvements to our workflows. If youre passionate about building resilient platforms and enjoy collaborating across functions wed love to hear from you.

This role is for candidates who are excited to work on-site in our growing San Francisco office located near 2nd and Market. This posting includes multiple open headcount spanning from Senior to Principal level.

What Youll Be Doing:

• 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.

• Work closely with Platform leadership product engineering data and ML teams to design systems that are robust observable and compliant in a healthcare environment.

• Define and drive infrastructure strategy for the Platform orgpartnering with engineering leadership to align roadmaps set standards and sequence work for maximum business impact.

• Secure networking identity and access patterns across environments.

• Improve reliability and operational excellence by defining SLOs SLIs and error budgets for core platform services.

• Leading and participating in blameless post-incident reviews and translating learnings into systemic improvements.

• 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 teamsreviewing design docs guiding architecture decisions and modeling high standards for reliability 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 Were Looking For

• Bring 4 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 compute storage and managed services.

• Are highly proficient in at least one programming/scripting language used for infrastructure work (Python preferred).

• Extensive experience building tooling and automation for other engineers.

• Have strong experience with Kubernetes containers (Docker) and container orchestration and understand how to operate these systems reliably at scale.

• Are comfortable with Infrastructure as Code (Terraform preferred Pulumi or similar) and Git-based workflows.

• Possess solid Linux fundamentals and are comfortable debugging issues at the OS networking and application layers.

• Have demonstrable experience leading complex cross-team initiatives from design through rolloutcommunicating 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.

• Take a data-informed pragmatic approach to decision-makingbalancing ideal architecture with business needs delivery timelines and team capacity.

Nice to Haves

• Experience in regulated environments (e.g. HIPAA) or prior work in healthcare or health tech.

• Background in platform or security engineering especially around access control encryption auditability and compliance.

• Experience working closely with ML / data teams or with ML platforms (e.g. Airflow Ray ML pipelines model serving stacks).

• Familiarity with observability stacks (CloudWatch New Relic Grafana OpenTelemetry etc.).

• Experience designing or operating internal developer platforms SDKs or reusable frameworks that standardize how services are built and deployed.

• Prior experience at a fast-growing startup where youve helped scale infrastructure processes and teams.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient caremaking a meaningful impact on millions of lives. Driven by our mission we prioritize transparency inclusion and close collaboration bringing together exceptional people to revolutionize healthcare. If youre passionate about driving innovation and delivering impactful healthcare solutions wed love to hear from you!

To learn more about what its like to work at Rad AI visit US-Based Full-Time Roles Rad AI offers a variety of benefits including:

• Comprehensive Medical Dental Vision & Life insurance

• HSA (with employer match) FSA & DCFSA

• 401(k)

• 11 Paid Company Holidays

• Location Flexibility (Remote-first company!)

• Flexible PTO policy

• Annual company-wide offsite

• Periodic team offsites

• Annual equipment stipend

• For roles based outside the US your recruiter can share more details

At Rad AI we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race color religion national origin gender sexual orientation 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 @ or

Required Experience:

IC