Munich American Reassurance Company is looking to build the industry's most advanced solution for medical risk assessment by leveraging AI, electronic health records (EHRs), and other complex, sensitive medical data to make it easier for people to get essential life insurance coverage.
Requirements
- Professional experience with Python preferred; understanding of software design lifecycle (SDLC) best practices
- Familiar with API design tools/languages (e.g., Swagger, OpenAPI, FastAPI)
- Cloud computing and Kubernetes (or similar orchestration tools)
- Containerizations tools (e.g., Docker)
- Experience with relational databases (e.g., PostgreSQL, MySQL) and ORM libraries (e.g., SQLAlchemy)
- Experience with load testing, latency profiling, and performance optimization for backend systems
- Experience with infrastructure-as-code tools (e.g., Terraform)
Responsibilities
- Participate in shaping the design of API architecture for real-time decisioning with complex medical data
- Collaborate with data scientists, underwriters, customer success and product managers to develop and deliver the product roadmap
- Optimize performance and scalability of backend systems handling large volumes of structured and unstructured health data
- Adapt product to evolving use of machine learning models and LLMs
- Build maintainable software; write unit/integration tests and implement automated testing
- Participate in code review and contribute to continuous improvement of development practices
Other
- Job type: Full-Time
- Work mode: Hybrid
- Job level: Professional
- Employment type: Regular
- Area of expertise: Information Technology
