Description
Description:
We are seeking a skilled Software Engineer with expertise in Python and modern backend frameworks to join the alitheia team. This role is ideal for someone passionate about building scalable, secure, and high-performance APIs and services that power data-driven solutions. You will work on mission-critical systems leveraging AI, electronic health records (EHRs), and other complex, sensitive medical data to make it easier for people to get essential life insurance coverage. The role sits within a small high-impact team dedicated to building the industry’s most advanced solution for medical risk assessment. Position offers substantial opportunity to shape a new solution, ship product quickly and see immediate impact.
For New York City based employees, the base salary range anticipated for this position is $122,690 - $142,062, plus an opportunity for an annual company bonus based upon a percentage of eligible pay.
The salary estimate displayed represents the typical salary range for candidates hired in this position. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role.
**Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest.
The Company
At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Together, we engage with everything we have and are, to help humankind act braver and better. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.
Our Benefits
Comprehensive Medical Plans
PTO and Family Leave
Retirement Savings Plans
Dental and Vision Plans
Life and Disability insurance
Employee Assistance Program
Adoption Assistance
Wellness Programs - Calm, WW, SoFI, Virgin Pulse
Commuter Benefits
FSA and HSA Plans
Hospital Indemnity, Critical Illness and Accident Plans
Key Accountabilities
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
Requirements
Required Knowledge, Skills, and Experience
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)
