Munich American Reassurance Company is seeking to build scalable, secure, and high-performance APIs and services that power data-driven solutions for medical risk assessment, leveraging AI, electronic health records (EHRs), and other complex, sensitive medical data.
Requirements
- 3+ years of professional experience with Python preferred; strong 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
- 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
- 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
Other
- Comprehensive Medical Plans
- PTO and Family Leave
- Retirement Savings Plans
- Dental and Vision Plans
- Life and Disability insurance
