Full Stack Engineer, Principal

Your Role

As a Full Stack Engineer in the healthcare space, you'll architect seamless, mission‑critical applications that clinicians and patients depend on. From polished interfaces to high‑performance backends, you'll shape technology that improves care delivery and enhances lives.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience

• 10+ years of experience in full stack development
• BA/BS in Computer Science or equivalent
• Proficiency in modern front-end frameworks (React, Vue, Angular or similar) and JavaScript/TypeScript
• Experience building backend services and APIs using .NET, Java, Node.js, Python, or similar technologies
• Strong knowledge of SQL (e.g., MS SQL Server, Oracle) and/or NoSQL databases and RESTful integrations
• Experience developing cloud-native applications (Azure preferred; AWS/GCP acceptable)
• Experience with containerization (e.g., Docker)
• Familiarity using Infrastructure as Code (e.g., Ansible, Bicep, ARM, Terraform) to provision and manage cloud resources
• Working knowledge of CI/CD pipelines and version control systems (e.g., GitHub, GitLab, Bitbucket)
• Experience using AI-assisted coding tools in professional software development (e.g., GitHub Copilot, Cursor, Claude, or similar)
• Experience working in regulated environments (e.g., healthcare) preferred
• Familiarity with healthcare interoperability standards or enterprise healthcare platforms (e.g., Epic) preferred
• End-to-end ownership mindset - thinks about UI, logic, and data as one cohesive system
• Engineering pragmatism - balances ideal architecture with delivery speed and business value
• AI-augmented builder - leverages AI tools effectively while maintaining strong engineering judgment
• Effective collaboration with product, design, QA, security, and platform teams
• Ability to operate in dynamic, evolving environments with shifting priorities
• Clear communication of technical concepts to both technical and non-technical stakeholders

Your Work

In this role, you will:

• Serve as a recognized technical authority across multiple products, platforms, or domains, shaping application architecture and engineering direction beyond a single team.
• Develop secure, testable, and maintainable code aligned with modern architectural patterns
• Implement system integrations and manage reliable data models for distributed components
• Ensure applications are cloud-ready and compatible with established CI/CD workflows
• Lead resolution of the most complex and ambiguous technical challenges, driving durable, long-term solutions that improve platform health and reduce systemic technical risk.
• Leverage AI tools to enhance productivity, code quality, and documentation, while critically applying outputs
• Drive system reliability and observability practices, ensuring proactive identification and resolution of complex production issues across systems
• Define and promote engineering standards, patterns, and best practices that improve scalability, security, reliability, and delivery effectiveness across the organization.

Your Work

In this role, you will:

• Serve as a recognized technical authority across multiple products, platforms, or domains, shaping application architecture and engineering direction beyond a single team.
• Develop secure, testable, and maintainable code aligned with modern architectural patterns
• Implement system integrations and manage reliable data models for distributed components
• Ensure applications are cloud-ready and compatible with established CI/CD workflows
• Lead resolution of the most complex and ambiguous technical challenges, driving durable, long-term solutions that improve platform health and reduce systemic technical risk.
• Leverage AI tools to enhance productivity, code quality, and documentation, while critically applying outputs
• Drive system reliability and observability practices, ensuring proactive identification and resolution of complex production issues across systems
• Define and promote engineering standards, patterns, and best practices that improve scalability, security, reliability, and delivery effectiveness across the organization.