6 months ago
Base Salary
$160k - $300k/yr
Responsibilities
- Influence the technical direction and architecture of infrastructure and platform capabilities supporting Rad AI’s AI products.
- Architect and evolve cloud infrastructure across Kubernetes, Amazon ECS, AWS Lambda, Amazon EC2, and data stores.
- Collaborate with platform, product engineering, data, ML, security, and compliance teams to build robust, observable, and compliant systems.
- Define infrastructure strategy, standards, roadmaps, and work sequencing for the Platform organization.
- Secure networking, identity, and access patterns across environments.
- Define SLOs, SLIs, and error budgets and improve reliability and operational excellence.
- Lead and participate in blameless post-incident reviews and implement systemic improvements.
- Own observability and monitoring across logging, metrics, and tracing.
- Mentor engineers, review design documents, guide architecture decisions, and promote reliability, security, and maintainability standards.
- Ensure infrastructure and operational practices meet HIPAA and other healthcare requirements.
- Improve developer experience through CI/CD workflows, faster feedback loops, and productivity tooling.
Requirements
- 4+ years of hands-on infrastructure or platform development experience in modern cloud-native environments, or equivalent practical experience.
- Deep expertise with AWS and/or GCP, including networking, compute, storage, and managed services.
- Proficiency in at least one infrastructure programming or scripting language, with Python preferred.
- Extensive experience building tooling and automation for engineers.
- Strong Kubernetes, Docker, and container-orchestration experience at scale.
- Experience with Infrastructure as Code, with Terraform preferred, Pulumi, or similar tools, plus Git-based workflows.
- Solid Linux fundamentals and ability to debug at operating-system, networking, and application layers.
- Demonstrated experience leading complex cross-team initiatives from design through rollout.
- Preferred qualifications include regulated-environment or healthcare experience, platform or security engineering background, ML or data-platform experience, observability-stack familiarity, internal developer-platform experience, and experience scaling infrastructure at a fast-growing startup.
Benefits
- Comprehensive medical, dental, vision, and life insurance.
- HSA with employer match, FSA, and DCFSA.
- 401(k).
- 11 paid company holidays.
- Flexible PTO policy.
- Annual company-wide offsite and periodic team offsites.
- Annual equipment stipend.
- Full-time role based on-site in the San Francisco office; benefits for roles outside the US may vary.
Tech Stack
Categories
About Rad AI
Our mission is to empower physicians with Al - saving physicians time, reducing burnout, and improving the quality of patient care.