R
Posted 4 hours ago
Staff Software Engineer, Infrastructure
Rad AI
Perks & benefits
Medical InsuranceHealth Insurance
Requirements
8+ years infrastructure experience, AWS or GCP expertise, Python proficiency, Kubernetes and Docker experience, Terraform or IaC experience, Linux fundamentals
Skills
AWSKubernetesTerraformPythonDocker
About the role
About the Company
Rad AI is 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. We have secured over $140M in funding and are building AI-powered solutions that make a real impact on millions of lives.
Responsibilities
- Influence technical direction for infrastructure and platform capabilities
- Architect and evolve cloud infrastructure on AWS using Kubernetes, ECS, and serverless technologies
- Design robust, observable, and compliant systems in a healthcare environment
- Define infrastructure strategy, roadmaps, and standards
- Secure networking, identity, and access patterns
- Improve reliability through SLOs, SLIs, and error budgets
- Lead blameless post-incident reviews and implement systemic improvements
- Own observability and monitoring strategy across logging, metrics, and tracing
- Mentor engineers and guide architecture decisions
- Partner with security and compliance stakeholders for HIPAA requirements
- Implement developer experience improvements and CI/CD workflows
Requirements
- 8+ years of hands-on infrastructure or platform development experience
- Deep expertise with AWS or GCP (networking, compute, storage, managed services)
- Proficiency in Python or another infrastructure scripting language
- Extensive experience building tooling and automation for engineers
- Strong experience with Kubernetes, Docker, and container orchestration
- Proficiency with Infrastructure as Code (Terraform preferred)
- Solid Linux fundamentals and debugging skills
- Proven track record of leading complex, cross-team initiatives
- Strong communication and mentoring skills
Preferred Qualifications
- Experience in regulated environments like HIPAA or healthtech
- Background in platform or security engineering
- Experience working with ML/data teams or ML platforms (Airflow, Ray)
- Familiarity with observability stacks (CloudWatch, Grafana, OpenTelemetry)
- Experience designing internal developer platforms or SDKs
- Prior experience in a fast-growing startup environment
Benefits
- Comprehensive Medical, Dental, Vision & Life insurance
- HSA (with employer match), FSA, & DCFSA
- 401(k)
- 11 Paid Company Holidays
- Flexible PTO policy
- Annual company-wide offsite and periodic team offsites
- Annual equipment stipend
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Rad AI · United States
