Software Engineer (Backend)

Münchener Rückversicherungs-Gesellschaft; Toronto; Hybrid; CAD 122,000 - 143,000; Full time

Job summary

A leading reinsurance company in Toronto is seeking a skilled Software Engineer to join their team. You will build scalable, secure APIs and services to manage sensitive medical data and support life insurance coverage. Collaborating closely with various stakeholders, your focus will be on enhancing backend systems and optimizing performance using modern technologies. This role comes with competitive compensation, a hybrid work model, and various employee benefits including flexible health options and a retirement plan.

Benefits

Annual company bonus

Flexible health and dental benefits

Learning and development programs

Generous time off

Maternity, Parental & Adoption Leave top-up program

Qualifications

• Professional experience with Python preferred.
• Familiar with API design tools/languages (e.g., Swagger, OpenAPI, FastAPI).
• Experience with relational databases (e.g., PostgreSQL, MySQL) and ORM libraries (e.g., SQLAlchemy).
• Experience with load testing, latency profiling, and performance optimization.

Responsibilities

• Participate in shaping the design of API architecture for real-time decisioning.
• Collaborate with data scientists, underwriters, and product managers.
• Optimize performance and scalability of backend systems.

Skills

Python

API design

Cloud computing

Kubernetes

Docker

PostgreSQL

SQLAlchemy

Load testing

Terraform

Education

Bachelor's degree in Computer Science or a related field

Job 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.

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

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)
• Containerization 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)

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 with Meeting‑Free lunch hours and Focus Friday afternoons
• 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 5% 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

Our base salary range for this role is between $122,690 - $142,062 per year, 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 internal equity.

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.

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 [e-mail] as soon as practical so that suitable accommodations can be arranged.