Software development jobs in Toronto, ON and nearby

Software development jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Sep 30, 2026

Hiring at a glance

View jobs

Open jobs: 1,550
Employers: 554

Advertised starting pay

Average starting payCAD / year: $118,722Across 164 listings
Average starting payUSD / year: $146,536Across 47 listings
Average starting payCAD / hour: $59.70Across 33 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 49%766 listings
On-site: 49%764 listings

Not specified: 1% (20 listings)

Employers hiring include Amazon (52), Okta (38), Scotiabank (31).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in Toronto, ON and nearby

Within 25 km

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Added 1 day ago
Java Software Engineer
Nityo Infotech
Toronto, ON
Contract
Strong experience with frameworks like Spring Security, JWT, OAuth, Hibernate, Junit, Spring Boot/Microservice-style application development.
Added 1 day ago
Software Developer - Full Stack - Senior (Integration exp-Apache Camel, MuleSoft, Enterprise Java exp)
Bevertec
Toronto, ON
Contract
Job Role: Software Developer - Full Stack - Senior (Integration exp-Apache Camel, MuleSoft, Enterprise Java exp)
Added 1 day ago
Software System Designer
AMD
Markham, ON
$86,400 to $129,600 USD / year
Full-time
Added 1 day ago
Sr. Software Engineer
TechDoQuest
Mississauga, ON
Full-time
The Unibasic Product Owner is responsible for defining, prioritizing, and managing the product backlog to ensure the development team delivers maximum business value. Acting as the bridge…
Added 1 day ago
Silicon Design Infrastructure Hardware/Software Engineer
AMD
Markham, ON
$91,200 to $136,800 USD / year
Full-time
Added 1 day ago
Software Engineer II, Organizations (Auth0)
Okta
Toronto, ON
Added 1 day ago
Sr. Java Full Stack Developer, TD Securities
TD
Toronto, ON
Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have…
Added 1 day ago
Software Development Engineer II, Scaling Planner, CloudTune
Amazon
Toronto, ON
Amazon's CloudTune organization is seeking a Software Development Engineer to join the Scaling Planner team and contribute to our suite of products across Reactive and Proactive Scaling.…
Added 1 day ago
Full Stack Developer with Python, Gen AI and Azure
Pacer Group
Toronto, ON
$120,000 to $130,000 CAD / year
Full-time
10+ years in front-end and back-end application development, cloud application development, and AI-powered solution design.
Added 1 day ago
Senior Software Engineer
Okta
Toronto, ON
$136,000 to $187,000 CAD / year
Full-time
Added 1 day ago
Senior Software Developer
Xplore Inc
Markham, ON
Full-time
We are seeking a highly skilled Senior Software Developer to help build modern, future-ready applications as part of our company-wide di
Added 1 day ago
Senior Software Engineer
Munich Re
Toronto, ON
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…
Added 1 day ago
Full-Stack Developer, backend
JENOPTIK AG
Mississauga, ON
…product, design, and engineering to turn requirements into working software, end to end, on a team that values clean code and real…
Added 1 day ago
Senior Software Engineer
Okta
Toronto, ON
Added 1 day ago
Senior Principal Software Engineer, R&D
Mastercard
Toronto, ON
Full-time
Added 1 day ago
Software Engineer
Roadpost
Toronto, ON
Full-time
Added 1 day ago
RQ11686 - Software Developer - Senior
Maarut
Toronto, ON
Contract
Added 2 days ago
Senior Cloud Architect
Adastra Corporation
Markham, ON
Other
Added 2 days ago
Senior Software Engineer - Java-Oracle
Broadridge
Toronto, ON
Full-time
Added 2 days ago
Senior Software Engineer – Oracle Developer
Broadridge
Toronto, ON
Full-time
Added 2 days ago
Java Full Stack Developer
SIDRAM TECHNOLOGIES
Mississauga, ON
Full-time
Added 2 days ago
2027 Winter Co-op Infotainment Software Developer
General Motors
Markham, ON
Full-time
Added 2 days ago
Frontend Developer
Robert Half
Toronto, ON
Contract
Added 2 days ago
Backend Engineer (Python )
Apexon
Toronto, ON
Full-time
Added 2 days ago
Site Reliability Engineer
J&M Group
Toronto, ON
Contract

Munich Re

Senior Software Engineer

Toronto, ON, Canada

Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

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.

Apply About employer

More about this job

Responsibilities

You will design and build scalable backend APIs and services to support medical risk assessment solutions using complex health data. The role involves collaborating with cross-functional teams to optimize performance and integrate machine learning models into production systems.

Requirements

Candidates must have a degree in a technical discipline and professional experience in Python backend development. Proficiency with API frameworks, containerization, cloud orchestration, and relational databases is required.

Skills

Python
Backend development
API architecture
FastAPI
Swagger
OpenAPI
Kubernetes
Docker
PostgreSQL
MySQL
SQLAlchemy
Cloud computing
Load testing
Latency profiling
Machine learning
Large language models

Benefits

Health benefits
Dental benefits
Pension plan
Wellness spending account
Health spending account
Vacation
Personal days
LinkedIn learning
Education assistance program
Maternity leave top-up
Parental leave top-up
Adoption leave top-up
Annual company bonus

Visa sponsorship

Not detected in the job text

Keywords

Python
Backend
API
FastAPI
Swagger
OpenAPI
Kubernetes
Docker
PostgreSQL
MySQL
SQLAlchemy
Cloud computing
Terraform
Machine learning
Large language models
Data science
Load testing
Latency profiling
Reinsurance
Life insurance
Medical data
Risk assessment
Infrastructure-as-code
Scalability
Unit testing
Integration testing
Automated testing
Code reviews
Performance optimization

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