Job description

Location: New York City; must be able to work a hybrid schedule from our NYC office. Sponsorship: This position does not offer sponsorship for employment-based visas , including but not limited to OPT, CPT, H-1B, or similar statuses. Employment is contingent upon your ability to provide and maintain valid work authorization in the United States without the need for sponsorship now or in the future. Job Overview: We are seeking a highly skilled Senior/Staff Software Engineer with deep expertise in Python and modern backend frameworks to join the alitheia 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. Preferred Qualifications: • 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. About Munich Re: Together, we engage with everything we have and are, to help humankind act braver and better. 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 data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry. We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance. The base salary range anticipated for this position is $147,000 - $170,000, 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. What Can We Offer You? We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits: • Two options for your health insurance plan (PPO or High Deductible). • Prescription drug coverage (included in your health insurance plan). • Vision and dental insurance plans. • Additional insurance coverages provided at no cost to you, such as basic life insurance equal to 1x annual salary and AD&D coverage that is equal to 1x annual salary. • Short and Long-Term Disability coverage. • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes Spouse/domestic partner and children). • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity) In addition to the above insurance offerings, our employees also enjoy: • A robust 401k plan with up to a 6% employer match. • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries. • Eligibility to receive a yearly bonus as a Munich Re employee. • A variety of health and wellness programs provided at no cost, including a gym fitness reimbursement. • Paid time off for eligible family care needs. • Tuition assistance and educational achievement bonuses. • A corporate matching gifts program that further enhances your charitable donation. • Paid time off to volunteer in your community. Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest. At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. 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.

Requirements

Must-haves

Location: New York City; must be able to work a hybrid schedule from our NYC office.
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.
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.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonapimachine learningdocker

Platform: radancy
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401k

Paid Time Off

Wellness

Professional Development