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Senior Python Developer

CBTSNew York, NY🇺🇸United States

Why this role stands out

This on-site Senior Python Developer role offers a unique opportunity to build impactful, mission-critical medical risk assessment solutions using AI and sensitive health data, allowing you to significantly shape a new product's future. You'll thrive here if you possess strong Python backend expertise and a passion for collaborating with diverse teams to deliver high-performance APIs and scalable services. Apply to leverage your skills for substantial growth and immediate impact on a cutting-edge product.

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationNew York, NY, United States
DockerFastAPIMySQLPythonTerraformPostgreSQLKubernetesMachine Learning

Job description

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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