Senior Python Developer — New York, NY

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