***Candidates must be authorized to work in the United States without sponsorship and located in Central or Eastern time zones***

Role: Fullstack Software Engineer at a small, well-funded healthcare SaaS company
Stack: Typescript + React, Python + Django, PostgreSQL, AWS
Location: 100% remote, US-based, biannual retreats
Compensation: $160k minimum base salary plus stock options
Benefits: Health, dental, vision, flexible hours, family leave

Our client is a fast-growing SaaS company building a risk intelligence platform for the healthcare industry. Their product helps leading healthcare organizations proactively manage risk across the full operational lifecycle - from discovery through strategic decision-making. By combining modern AI capabilities, financial modeling, and a unified web-based product experience, they enable teams to move beyond static risk registers to continuous analysis, quantified impact, and actionable insights. Their long-term vision is to set the standard for enterprise risk management in healthcare.

Key Responsibilities:

• Design, implement, and maintain backend data models, services, and APIs that power the product.

• Translate wireframes and prototypes into production-grade UI.

•  Ensure high performance, reliability, and security of the product.

• Communicate technical tradeoffs that influence system design and the evolution of the platform.

• Partner with the broader team to accelerate development, address bugs, and improve user experience.

Expected Experience

• 5+ years designing, building, and maintaining frontend and backend systems for enterprise software products. Equal expertise in frontend and backend is not a requirement, but should demonstrate a desire to grow in both.

• Web development using a Python web framework (Django, Flask, FastAPI), REST, and SQL.

• UI development using Typescript and React.

• User authorization and authentication.

• Cloud basics, including CI/CD, containers and Kubernetes, and object storage.

• Broad understanding of data structures, algorithms, and system design principles.

Desired Experience

• AI-assisted development best practices.

• Support for agentic AI workflows, including RAG development and prompt management.

• Programmatic generation of PowerPoint slides and Excel workbooks.

• Regulated data environments (healthcare, finance).