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Added 28 mins ago
Python Developer
Siri InfoSolutions, Inc.
Toronto, ON
Contract
Hiring: Senior Python Developer (AWS | REST APIs | CI/CD)
Added 28 mins ago
Senior Java Software Engineer
BULLIT MANAGEMENT SERVICES LIMITED
Toronto, ON
Full-time
Working knowledge of DevOps practices and tools such as Terraform, GitHub Actions, or Jenkins
Added 43 mins ago
Senior Web Developer (Full-Stack)
Myant Shared Service Corp.
Mississauga, ON
Full-time
We're looking for a Senior Full-Stack Web Developer to own Myant's public-facing web presence (company and product websites, landing pages, SEO, analytics) and to contribute to our core…
Added 57 mins ago
Agent DevOps Platform Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Familiarity with Infrastructure as Code tools like Terraform or CloudFormation is a plus.
Added 57 mins ago
Terraform Developer
J&M Group
Toronto, ON
Full-time
Infrastructure as Code & Automation: You will have solid working experience with Terraform and the ability to create reliable, scalable infrastructure through code. Beyond implementation,…
Added 2 hours ago
Senior Data Engineer
Clutch Technologies Inc.
Toronto, ON
Experience with DevOps and observability tooling such as Git, GitHub Actions, Docker, Terraform, and Datadog.
Added 3 hours ago
Senior Software Engineer II, Multiple Teams
Relay
Remote, Canada
Full-time · Remote
Back-end: Node.js, TypeScript, Terraform, AWS (DynamoDB, RDS Postgres, Lambda, S3, SQS, SNS, SES, ElasticSearch, ECS)
Added 3 hours ago
Senior Data Scientist, Financial Services
Clutch Technologies Inc.
Toronto, ON
Experience with DevOps and observability tooling such as Git, GitHub Actions, Docker, Terraform, and Datadog.
Added 3 hours ago
Security Engineer
Questrade Financial Group
Toronto, ON
Developer Collaboration: Explaining vulnerabilities using affected code, reproduction steps, and practical remediation options. Pairing with engineers on fixes, reviewing security-sensitive…
Added 4 hours ago
AWS Developer (Cloud & Serverless)
KTek Resourcing
Toronto, ON
Full-time
Title : AWS Developer (Cloud & Serverless) - Fresh Grade
Added 4 hours ago
Full Stack Developer – Intermediate / Senior
SBX Technologies
Montreal, QC
Full-time
We’re looking for an experienced Full Stack Developer to join our development team and help build, enhance, and modernize our products.
Added 5 hours ago
Senior Software Engineer, Multiple Teams
Relay
Remote, Canada
Full-time · Remote
Back-end: Node.js, Typescript, Terraform, AWS (DynamoDB, RDS Postgres, Lambda, S3, SQS, SNS, SES, ElasticSearch, ECS)
Added 5 hours ago
Senior Software Engineer, Multiple Teams
Relay
Remote, Canada
Full-time · Remote
Back-end: Node.js, Typescript, Terraform, AWS (DynamoDB, RDS Postgres, Lambda, S3, SQS, SNS, SES, ElasticSearch, ECS)
Added 5 hours ago
Senior Software Engineer (Voyager)
Relay
Remote, Canada
Full-time · Remote
Developer Enablement: Give teams across Relay the tooling, patterns, and guidance they need to ship AI workflows quickly and safely
Added 5 hours ago
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
Contract
Deploy and run the service on Kubernetes (on-premises, AKS, and EKS) using Helm, GitOps, and Terraform, and keep the CI/CD pipelines (Jenkins, GitHub Actions) healthy.
Added 6 hours ago
AWS Developer
KTek Resourcing
Toronto, ON
Contract
Required Skills: AWS, Lambda, API Gateway, CloudFormation/Terraform, Python/Java, Docker, Kubernetes, CI/CD, CloudWatch, Microservices.
Added 6 hours ago
Lead Data Engineer
AgileGrid Solutions
Canada
Full-time
We are seeking a highly skilled Senior Developer in Data Engineering to join our Financial Crime and Regulatory Projects team at National Bank. This pivotal role involves serving as a Data…
Added 10 hours ago
Data Engineering, Cloud Migration & Platforms Engineer
General Motors
Markham, ON
Full-time
Develop reusable infrastructure as code using Terraform, including cloud, networking, data-platform, and Databricks resources; manage remote state and reusable modules.
Added 14 hours ago
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Experience with Git-based development, automated testing, CI/CD, and infrastructure as code using Terraform, AWS CDK, or AWS CloudFormation.
Added 14 hours ago
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Experience with Git-based development, automated testing, CI/CD, and infrastructure as code using Terraform, AWS CDK, or AWS CloudFormation.
Added 14 hours ago
Site Reliability Engineer
Raydar
Remote, Canada
Full-time · Remote
…You will own critical infrastructure domains across CI/CD, developer experience, observability, and agent harness engineering, with room to shape how the platform…
Added 18 hours ago
Senior Azure Platform / DevOps Engineer
Makai Labs
Canada
Full-time
We build and run cloud platforms for our clients. A lot of the time that means standing up a reusable Terraform foundation and adapting it for each client and environment. You'd own these…
Added 18 hours ago
Senior Data Platform Engineer - Zonda - Toronto, Ontario
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Build reusable Infrastructure-as-Code capabilities using Terraform.
Added 19 hours ago
Cloud Operations Analyst - Operate
Deloitte
Toronto, ON
Full-time
Exposure to Infrastructure as Code concepts and tools such as Terraform.
Added 19 hours ago
Manager, Software Development
CNN
Ottawa, ON · Kanata, ON
Full-time
Proficiency in cloud services such as AWS (Serverless/SAM, etc.), containerization (Docker/Kubernetes), and infrastructure management (Terraform, CloudFormation).

Munich Re

Engineering Co-op, NA Integrated Analytics (2027 Summer - Toronto)

Toronto, ON, Canada

Pay: Compensation for this position ranges from $1,700 to $2,100 per week.
Posting language: English
Posted: Sep 28, 2026

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Original job description

POSITION: Engineering Co-op, NA Integrated Analytics (2027 Summer - Toronto)

LOCATION: Toronto, ON

ANTICIPATED START DATE: Summer 2027

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.

How can ML promote longer and healthier lives? Armed with decades of risk data, novel data sources, and a team of innovative scientists, engineers, and domain experts, Munich RE is building solutions that are transforming the life insurance industry.

Develop solutions that allow easier access to insurance and healthier lifestyles
Build highly scalable products with best security, ML, DevOps practices
Research bias and fairness, disease models, NLP & more
Discover diverse careers with leadership opportunities
Flexible remote/in-person work + focus on work-life balance
Be part of a fast-growing team that values transparency & diversity

To learn more about the North American Integrated Analytics team, please visit our site:

https://www.munichre.com/us-life/en/digital-solutions.html

Our co-op placements provide you with an excellent opportunity to practically apply your classroom and technical training in the reinsurance industry. While with our team, you’ll be; coached by experienced industry professionals, exposed to Munich Re leadership, challenged as a valuable team member and contributor doing meaningful work, and mentored to develop a solid foundation that will help position you as a future leader in the field.

Position Overview:

Responsibilities may include, but will not be limited to the following:

Contribute to various on-the-go projects, related to the following areas of concentration (as needed and as fits with your focus):

Create, test and support the development of Python based applications and predictive models deployed as RESTful microservices APIs
Build and expand our ETL pipelining practices to ease the flow of data into our cloud infrastructure
Deploy, monitor and improve visibility for our production applications
Integrate security into all stages of the engineering pipeline and employ a “security first” attitude

Build data products with heavy reliance on cloud infrastructure
Incorporate Git, testing, CI/CD workflows and PRs into any coding project
Participate in various research projects in the field of machine learning and deep learning – collaborating with our greater team of scientists and engineers.

Qualifications:
We’re looking for well-rounded individuals who are technically astute, have strong communication skills, and demonstrate the ability to build positive relationships with internal clients. We’re seeking energetic and collaborative professionals who are excited to join our winning team and show promise of becoming a future leader in the engineering space.

Specifically, we’re looking for the following qualifications:

Technical:

Undergraduate or Graduate degree in Computer Science, Engineering, Physics, Bioinformatics – or equivalent program;
Familiarity with Python or other object-oriented languages;
Experience developing software using principles from the software design life cycle;
Proficiency with agentic coding

Behavioral:

Solid communication skills; spoken & written, formal/informal presentation;
Able to learn quickly and independently and motivated to help others;
Proven ability to thrive in a dynamic environment;
Ability to creatively and rapidly problem solve for on-the-job issues.

Preferred (but not required):

Familiarity with Azure or other cloud platforms;
Ability to independently research new tools and technologies;
Previous exposure to insurance or financial services environment;
Experience in Terraform, Kubernetes, Helm
Interest in full-stack development

Please upload a copy of your unofficial transcript with your application package when applying for this position.

Note that this opportunity is open to current students who are returning to in-class studies upon the completion of their co-op.

Compensation for this position ranges from $1,700 to $2,100 per week. This range represents the typical compensation for candidates hired into this role.

This role is located in our Toronto office on 390 Bay St, and we operate in a hybrid work model.

Munich Re is currently operating under a hybrid working model, including a minimum of 3 days in office per week. Students are expected to relocate to the city in which they work for the duration of their co-op, so they can fully benefit from the full program integration. This provides a great opportunity to network, develop soft skills and become immersed within the greater Munich Re culture; including engaging with your team while in-office for face-to-face meetings, sharing meaningful moments, and allocating time to connect with your Manager.

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 AODARequestHR@munichre.ca as soon as practical so that suitable accommodations can be arranged.

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More about this job

Responsibilities

The co-op will contribute to the development of Python-based applications, predictive models, and ETL pipelines within a cloud infrastructure. They will also participate in machine learning research and integrate security practices into the engineering pipeline.

Requirements

Candidates must be currently enrolled in an undergraduate or graduate program in Computer Science, Engineering, Physics, or Bioinformatics. Proficiency in Python and familiarity with software design life cycle principles are required.

Skills

Python
Machine learning
Deep learning
Data engineering
Cloud infrastructure
RESTful APIs
ETL pipelines
DevOps
Git
CI/CD
Software design life cycle
Predictive modeling
Communication
Problem solving
Agentic coding

Benefits

Mentorship
Professional development
Leadership exposure
Flexible work environment

Visa sponsorship

Not detected in the job text

Keywords

Python
Machine Learning
Deep Learning
Cloud Infrastructure
Azure
RESTful APIs
ETL
DevOps
Git
CI/CD
Terraform
Kubernetes
Helm
Predictive Models
Data Engineering
Software Design Life Cycle
Reinsurance
Insurance
Microservices
Agentic Coding
NLP
Data Products
Security
Full-stack development

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