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

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