Senior Python Developer

We are seeking a highly skilled Senior/Staff Software Engineer with deep Python and modern backend framework expertise for an on-site position. You will build scalable, secure, high-performance APIs and services for mission-critical systems that use AI, electronic health records, and other sensitive medical data to make life insurance coverage easier to obtain. The role sits on a small, high-impact team building an advanced medical risk assessment solution, with substantial opportunity to shape a new product, ship quickly, and see immediate impact.

DUTIES

• Help shape API architecture for real-time decisioning using complex medical data
• Collaborate with data scientists, underwriters, customer success partners, and product managers to develop and deliver the product roadmap
• Optimize backend performance and scalability for large volumes of structured and unstructured health data
• Adapt the product as machine learning and large language model use evolves
• Build maintainable software; write unit and integration tests and implement automated testing
• Participate in code reviews and contribute to continuous improvement of development practices

Qualifications Required

• Degree or equivalent background in Engineering, Mathematics, Computer Science, Data Science, Physics, or a related discipline
• Professional experience developing backend software with Python
• Strong understanding of software development lifecycle best practices
• Experience with API design tools and frameworks (Swagger, OpenAPI, FastAPI)
• Experience with cloud computing and Kubernetes or similar orchestration tools
• Experience with containerization tools such as Docker
• Experience with relational databases (PostgreSQL, MySQL) and ORM libraries such as SQLAlchemy
• Experience with load testing, latency profiling, and backend performance optimization

Preferred

• Experience with infrastructure-as-code tools such as Terraform
• Experience working with new and complex data sources
• Interest in applying emerging technologies, including large language models, in production environments
• Ability to collaborate effectively across engineering, data science, underwriting, product, and customer success teams