Responsibilities
- Design, build, and ship full stack features across our platform — from data pipelines and APIs to the frontend experiences
- Own and evolve our AWS infrastructure: provisioning, scaling, security, cost efficiency, and reliability for systems handling healthcare data
- Architect and implement agentic AI workflows that improve how users interact with real-world data
- Partner closely with product, data science, and commercial teams to translate healthcare domain requirements into robust technical solutions
- Establish and improve engineering practices — code review, testing, CI/CD, observability — as the team scales
- Make thoughtful architectural decisions with an eye toward data privacy, PHI handling, and compliance requirements inherent to healthcare data
- Mentor other engineers and help set technical direction as a senior technical voice on the team
Requirements
- A strong track record shipping production systems end-to-end
- Deep experience in at least one of backend/systems design, infrastructure, AI, or frontend, and the ability to go across all of them
- Excellent judgment on trade-offs
- Strong communication and the ability to work with non-engineering stakeholders
- A commitment to clean architecture, readable code, and thorough testing
Core Competencies
Demonstrates expertise in full stack development, including backend systems design, infrastructure management, and AI workflow implementation, while ensuring compliance with healthcare data regulations. Strong ability to mentor engineers and collaborate with cross-functional teams to deliver robust technical solutions.
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