Phamily is a leading AI-based care management company serving healthcare providers. They are seeking entrepreneurial Senior Software Engineers to join their high-impact engineering team to design, build, and scale core components of their AI-driven care management platform.
Responsibilities:
- Architect and build full-stack feature end-to-end (Ruby on Rails, Python, SQL, JS/Vue/React)
- Drive technical vision, code quality standards, and engineering best practices
- Communicate complex concepts simply and help technical and non-technical teams align
- Ship quickly in iterative cycles: prototype, launch, iterate, scale
- Make pragmatic trade-offs to deliver value fast while maintaining product integrity
- Use AI tools to speed up engineering output for yourself and your team
- Build, maintain, and scale SaaS products that serve real patients and clinicians
- Own migrations, services, APIs, and long-term maintainability
- Design and implement high-quality, maintainable, and well-tested code
- Contribute to system architecture and technical design decisions
- Improve performance, scalability, and reliability of core platform systems
- Work across backend, frontend, and infrastructure layers as needed
- Continuously refactor and improve existing codebases
Requirements:
- 7+ years of full lifecycle software engineering experience
- You've built, shipped, and maintained production SaaS systems for years
- Strong architectural instincts and ability to coach others
- Clear communicator with high signal and low ego
- Startup or fast-paced environment experience
- Clean high-quality production code
- Good UX / product design sense
- JavaScript, HTML, CSS
- Vue.js / React / SPA (Single Page Apps)
- Ruby on Rails / Python / Elixir
- SQL / PostgreSQL / MySQL
- TDD / RSpec / Playwright
- AWS, GCP, Docker, Kubernetes
- AI implementation
- Healthcare, SaaS, or startup experience
- Bonus: Healthcare, HL7/FHIR, data ingestion, ML/LLM interest
- Entrepreneurial DNA: A 'builder' mentality with the ability to operate effectively in high-ambiguity environments where processes may not be fully fleshed out