Python Backend Developer
About this role
Employer-provided description, formatted for easier reading.
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.