Senior Software Engineer

Location: Toronto; must be able to work a hybrid schedule from our Toronto office.

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.

What Can We Offer You?

We are pleased to offer our employees great benefits and resources to support their mental, physical and financial wellbeing. These include:

• An engaging and collaborative environment that promotes continuous learning and development
• A hybrid work environment that combines weekly in-office and remote days
• A great compensation package including annual company bonus
• Market leading company-paid flexible health and dental benefits, starting on your first day
• Flexible dollars provided by the company to put towards Health Spending Account and/or Wellness Spending Account
• Immediate participation in DC Pension Plan with an automatic employer contribution, plus optional company match
• Generous time off including vacation, personal days, unplanned time, Statutory Holidays and company-wide early closure half-days
• Learning and development programs and resources, including unlimited access to LinkedIn Learning, Education Assistance Program and reimbursement for professional fees
• Maternity, Parental & Adoption Leave top-up program
• Employee Referral Program, Recognition & Rewards Platform

This role is located in our Toronto office on 390 Bay St, and we operate in a hybrid work model. This job posting is for an existing vacancy. 

We do not use AI in our recruitment process - applications are reviewed by our team to ensure a fair and personalized experience.

Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest.

The base salary range anticipated for this position is $147,000 - $171,000, 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.

Munich Re is committed to providing a work environment that is inclusive and free of employment barriers and discrimination. Accommodations will be made for qualified applicants with a disability throughout the recruitment process. If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please contact AskHRNorthAmerica@munichre.com as soon as practical so that suitable accommodations can be arranged.