Principal Software Engineer (Fullstack)
About the role
We are seeking an exceptional Principal level Engineer to join our product engineering organization and drive transformative impact across our platform. At these levels, you will be responsible for solving complex technical challenges that span multiple teams, defining architectural standards, and shaping the technical direction of our product engineering organization.
You will work on the most critical and ambiguous problems facing our business, translating strategic objectives into coherent technical roadmaps, leading and executing on the technical roadmaps to achieve the business outcome. You will leverage cutting-edge AI coding tools to optimize development workflows, mentor senior engineers, and serve as a force multiplier for the entire engineering organization.
Responsibilities
- Technical Leadership
- Design and architect systems that affect large parts of the business, ensuring scalability, maintainability, and performance
- Own the technical design and delivery of complex projects involving multiple systems or critical infrastructure
- Make key technical contributions that set direction for how the team writes code, designs systems, and uses core libraries
- Simplify complex problems, enabling teams to achieve more with less effort
- Create substantial improvements in stability, performance, and scalability across the platform
- Strategic Impact
- Identify, formalize, and deliver solutions that impact the entire engineering organization
- Work cross-functionally with business and product partners to influence technical and business decisions
- Set strategic direction for significant portions of the technology stack
- Anticipate potential problems in major projects and devise effective solutions to mitigate them
- Facilitate cross-team collaboration, driving decisions among groups with disparate interests
- AI-Augmented Development
- Champion the adoption of AI coding tools (Claude Code, GitHub Copilot, Cursor, etc.) to accelerate development velocity
- Establish best practices for leveraging AI assistants in code generation, review, and refactoring
- Optimize development workflows by integrating AI tools into the engineering lifecycle
- Measure and demonstrate productivity improvements from AI-augmented development practices
- Mentorship & Influence
- Mentor senior engineers and be a force multiplier for the entire team
- Provide technical guidance with a proven track record of sound judgment
- Influence without formal authority, securing cross-team buy-in for technical initiatives
Qualifications
- Code Fluency
- Write highly robust, scalable code that is flexible, reusable, efficient, and adaptable to changing requirements
- Provide high-quality code review feedback and foster effective, collaborative code review culture
- Strong Awareness of Technologies and Ecosystems
- Strong awareness of technologies and ecosystems, able to introduce new ideas to solve business and technical problems
- Proficiency with AI Coding Tools
- Proficiency with AI coding tools (GitHub Copilot, Cursor, ChatGPT, etc.) to accelerate development
- Experience with AI/ML Model Deployment and Integration
- Experience with AI/ML model deployment and integration
- Experience with Full-Stack Web Development, System Design, and Cloud Infrastructure
- Experience with full-stack web development, system design, and cloud infrastructure (AWS preferred)
- Experience with DevOps Practices, CI/CD Pipelines, and Containerization
- Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes)
- Strong Project Management Skills
- Strong project management skills with ability to break down complex projects into milestones
- Excellent Communication Skills
- Excellent communication skills with ability to influence without formal authority
- Experience Mentoring Senior Engineers
- Experience mentoring senior engineers
- Deep Expertise in Healthcare Technology and Regulatory Compliance
- Deep expertise in healthcare technology and regulatory compliance (HIPAA, HITRUST) preferred
Preferred Qualifications
- Experience Building SaaS Applications in the Healthcare Sector
- Track record of building and deploying user-facing AI products
- Experience with Open Source Projects or Technical Publications
- Contributions to open source projects or technical publications