About the Role
This position involves designing and maintaining backend services and data pipelines while also contributing across the full stack. The engineer will work closely with product and clinical teams to deliver reliable, secure, and high-performing systems that support patient care initiatives.
Responsibilities
- Design and implement scalable backend services and APIs
- Develop and maintain data storage and retrieval systems
- Optimize data processing workflows for performance and reliability
- Collaborate on full-stack feature development
- Ensure system security and compliance with healthcare standards
- Participate in code reviews and technical design discussions
- Monitor and troubleshoot production systems
- Improve data modeling and database architecture
- Support integration with clinical and operational systems
- Contribute to system documentation and technical specifications
- Work with frontend developers to define interface contracts
- Implement automated testing for backend components
- Refactor legacy systems for improved maintainability
- Assist in defining engineering best practices
- Engage in incident response and on-call rotations
- Evaluate new technologies for data and backend infrastructure
- Drive improvements in system observability
- Support deployment and CI/CD pipeline enhancements
- Collaborate with data scientists on data access patterns
- Ensure data consistency across distributed systems
- Contribute to API versioning and deprecation strategies
- Help scale infrastructure to meet growing data demands
- Participate in sprint planning and backlog refinement
- Mentor junior engineers in backend and data topics
- Align technical work with product roadmap priorities
Compensation
Competitive salary with equity and comprehensive benefits
Work Arrangement
Hybrid remote with team collaboration expectations
Team
Collaborative engineering team focused on scalable healthcare technology
Tech Stack
- Primary languages include Python and JavaScript
- Backend frameworks such as Node.js and Django
- PostgreSQL and MongoDB for data storage
- AWS for cloud infrastructure and services
- Docker and Kubernetes for deployment
- React for frontend components
- Airflow for workflow orchestration
- GraphQL for select internal APIs
- Terraform for infrastructure as code
- Prometheus and Grafana for monitoring
Impact
- Engineers directly influence product direction
- Work impacts real-time clinical decision support
- Systems handle sensitive patient information securely
- Focus on reducing clinician administrative burden
- Technology enables scalable care delivery models
- Data infrastructure supports analytics and reporting
- Engineers contribute to regulatory compliance efforts
- Code improvements lead to faster product iterations
- Reliable systems enhance user trust and adoption
Available for qualified candidates
