Senior Python Developer
cbtsNew York (NY)
About the role
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 practicesQUALIFICATIONS
RequiredDegree 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 optimizationPreferredExperience 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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