What are the responsibilities and job description for the Senior Python Developer position at CBTS?
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
Required
Preferred
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
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