Python Backend Developer

CBTS; New York (NY); Hybrid; USD 147,000 - 170,000; Full time

Job summary

CBTS in New York City is seeking a Senior/Staff Python Backend Developer to design scalable APIs and services powering AI-driven medical data applications. This onsite hybrid role requires 3 days in the office and offers a salary target of 147K–170K plus bonus.

You will collaborate across data science, underwriting, product and customer success teams, shaping API architecture, optimizing performance, and expanding with ML models and large language models as the product evolves.

Qualifications

• Backend software development experience with Python.
• Strong knowledge of API design and OpenAPI.
• Experience with cloud platforms and container orchestration (Kubernetes).
• Familiarity with SQL databases and ORM (SQLAlchemy).
• Ability to collaborate across engineering, data science, underwriting, and product teams.
• Willingness to work onsite in NYC with hybrid schedule.

Responsibilities

• Shape API architecture for real-time decisioning on medical data.
• Collaborate with data scientists, underwriters, customer success and product managers to deliver the roadmap.
• Optimize backend performance and scalability for large volumes of health data.
• Adapt the product as ML models and large language models evolve.
• Write unit/integration tests and participate in code reviews.

Skills

Python

API design

Cloud computing

Collaboration

Education

Bachelors degree in Engineering/CS/Data Science

Tools

Docker

Kubernetes

OpenAPI/Swagger/FastAPI

SQLAlchemy

PostgreSQL/MySQL

Terraform

Job description

Python Backend Developer - Location: NY, New York (Grand Central area), onsite Hybrid 3 days a week - Direct Fulltime - Salary with Benefits $147K-$170K target + BONUS

This position does not offer sponsorship for employment-based visas, including but not limited to OPT, CPT, H-1B, or similar statuses. Corp-to-Corp candidates will NOT BE considered

CBTS is seeking a highly skilled Senior/Staff Software Engineer with deep expertise in Python and modern backend frameworks to join our New York City team. You will build scalable, secure and high-performance APIs and services that power data-driven solutions. The role supports mission-critical systems that use artificial intelligence, electronic health records and other complex, sensitive medical data to make it easier for people to obtain essential life insurance coverage. This position sits within a small, high-impact team building an advanced solution for medical risk assessment. It offers substantial opportunity to shape a new solution, ship product quickly and see immediate impact.

Key Responsibilities:

• 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 the use of machine learning models and large language models evolves.
• Build maintainable software, write unit and integration tests, and implement automated testing.
• Participate in code reviews and contribute to the continuous improvement of development practices.

Qualifications:

• 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 such as Swagger, OpenAPI and FastAPI.
• Experience with cloud computing and K8s or similar orchestration tools.
• Experience with containerization tools such as Docker.
• Experience with relational databases such as PostgreSQL or MySQL and ORM libraries such as SQLAlchemy.
• Experience with load testing, latency profiling and backend performance optimization.
• 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.

CBTS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws.