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Alaffia Health is a venture-backed Series B healthtech startup addressing billions in annual improper payments and administrative waste across U.S. health plans. Using expert clinicians and transparent AI, the company delivers deeper insights, smarter automation, and better outcomes across the claims lifecycle, helping health plans cut wasted spending and provide more affordable care.
You will serve as a Staff Engineer, solving complex cross-team technical challenges, setting architectural direction, and acting as a force multiplier across the engineering organization. You'll translate strategic goals into technical roadmaps, lead execution, and champion AI-augmented development practices.
Key responsibilities include:
- Architect and own delivery of complex, high-impact systems spanning multiple teams
- Set technical direction and coding/design standards across the organization
- Drive AI coding tool adoption (Claude Code, Copilot, Cursor), establish best practices, and measure productivity gains
- Mentor senior engineers and influence technical decisions without formal authority
- Partner cross-functionally with product and business leaders on technical strategy
- Own testing strategy, system health, and build-vs-buy decisions for critical infrastructure
The role is based in New York with a flat organizational structure and direct access to leadership. The company is deeply mission-driven, focused on creating a better healthcare system through technology.
REQUIREMENTS:
- 10+ years of software engineering experience with a track record of leading complex, high-impact projects at scale
- Expert-level proficiency in TypeScript, Python, GraphQL, and PostgreSQL
- Strong system design and cloud infrastructure experience (AWS preferred), including CI/CD and containerization (Docker, Kubernetes)
- Demonstrated success adopting AI coding assistants to improve team productivity
- Excellent communication skills and experience mentoring senior engineers
- Healthcare tech/regulatory experience (HIPAA, HITRUST) is a plus
- Preferred: Healthcare SaaS experience; familiarity with medical billing, claims, or clinical workflows
- Experience shipping user-facing AI products or AI/ML model deployment
- Open source contributions or technical publications
Current authorization to work in the United States is required; visa sponsorship is not available.
