About RadiantGraph:

RadiantGraph is transforming healthcare by empowering organizations to deliver AI-driven personalized care that enhances consumer experiences and health outcomes. Our platform integrates seamlessly with existing healthcare systems to turn complex data into rich consumer profiles, enabling meaningful engagement. Using advanced AI and machine learning, we connect individuals to the right programs at the right time, ensuring both enrollment and sustained participation. By partnering with healthcare organizations, we aim to create scalable, secure, and impactful solutions that improve care while meeting industry regulations.

About the Role:

We are looking for a Staff Full-stack Software Engineer who thrives in ambiguity, takes ownership of complex problems, and rapidly delivers high-quality solutions. While this is a full-stack role, it is heavily backend and data-focused, requiring strong expertise in scalable backend system design, data engineering, and productionizing APIs.

This is a high-impact, high-autonomy position where you will be expected to contribute immediately, guiding architectural decisions, mentoring engineers, and shipping production-ready code. While frontend experience is valuable, the ideal candidate will focus primarily on backend APIs, data models, and infrastructure while ensuring seamless system integration across the stack. This is a hybrid role based out of our San Francisco, CA office.

Description:

• Architect, develop, and maintain scalable backend services and APIs using Python (FastAPI, Django, or Flask).

• Design and optimize data pipelines, ETL workflows, and database schemas to support analytics and AI-driven applications.

• Work across the stack, contributing to frontend development (Next.js, TypeScript) when needed, while maintaining a backend-first focus.

• Ensure high-performance, reliability, and security in a HIPAA-compliant environment.

• Own complex, ambiguous technical challenges and deliver high-impact solutions with minimal guidance.

• Conduct in-depth code reviews and mentor junior engineers, setting a high technical bar.

• Collaborate with product and data science teams to deliver customer-focused solutions.

• Implement CI/CD pipelines, automated testing, and observability to improve development velocity.

• Stay ahead of emerging technologies and advocate for best practices in system design, performance, and security.

Qualifications:

• 10+ years of software engineering experience, with at least 3 years in a Staff-level role.

• Deep expertise in Python and backend frameworks (FastAPI, Django, Flask).

• Proven experience in data engineering, including ETL pipelines, database performance optimization, and data modeling.

• Strong knowledge of PostgreSQL, MongoDB, or other modern databases (relational and NoSQL).

• Experience designing and building scalable, production-grade APIs (REST, OpenAPI, GraphQL).

• Solid understanding of authentication, authorization (OAuth, SAML, JWT), and security best practices.

• Hands-on experience with cloud services (AWS, GCP, or Azure) and infrastructure as code.

• Strong leadership, communication, and mentorship skills; able to drive technical decisions and level up the team.

• Comfortable working in a fast-paced, high-ownership environment with minimal direction.

Bonus Points:

• Experience working with data lakehouses, Apache Spark, or Databricks.

• Knowledge of Next.js, TypeScript, and frontend frameworks (though this is not a frontend-heavy role).

• Prior experience in healthcare, compliance-heavy environments, or AI-driven applications.