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Graduate Cloud Engineer Jobs in Toronto, ON (NOW HIRING)

Randstad Canada

Cloud/AI Platform Engineer

Toronto, ON

CA$75K - CA$141K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... cloud computing, artificial intelligence, machine learning platforms, developer tools, and large ...

BMO Capital Markets

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI ... cloud computing, artificial intelligence, machine learning platforms, developer tools, and large ...

Fortinet

Cloud Solution Architect

Toronto, ON · On-site

Proficiency in modern software architecture using CI/CD, DevOps tools (Ansible / CloudFormation ... Graduate Degree favorable About Our Team: Join our team, known for its collaborative ethos, working ...

Fortinet, Inc.

Cloud Solution Architect

Toronto, ON · On-site

Proficiency in modern software architecture using CI/CD, DevOps tools (Ansible / CloudFormation ... Graduate Degree favorable About Our Team: Join our team, known for its collaborative ethos, working ...

Royal Bank of Canada

Senior AI Engineer

Toronto, ON · On-site

Experience with cloud platforms (AWS, GCP, and Azure) and MLOps tools. * Core Machine Learning and ... Graduate in science, mathematics, statistics or engineering What's in it for you? We thrive on the ...

Royal Bank of Canada

Senior AI Engineer

Toronto, ON · On-site

Experience with cloud platforms (AWS, GCP, and Azure) and MLOps tools. * Core Machine Learning and ... Graduate in science, mathematics, statistics or engineering What's in it for you? We thrive on the ...

ShyftLabs

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

This is an exciting opportunity for a recent graduate or early-career engineer who wants to work at ... Learn and apply best practices in software engineering, cloud development, and AI integration

Parallelz

Head of Engineering

Toronto, ON · Hybrid

Own the architectural design and technical roadmap end-to-end across the product and our cloud ... Graduate work and/or a research background in a related area. Benefits * Group Retirement Savings ...

Parallelz

Head of Engineering

Toronto, ON · On-site

Own the architectural design and technical roadmap end-to-end across the product and our cloud ... Graduate work and/or a research background in a related area. Benefits * Group Retirement Savings ...

Metso Outotec

AI Solution Engineer

Burlington, ON · On-site

Whether you are a recent graduate, close to completing your studies, or already building your early ... Exposure to cloud-native development, APIs, Git, or rapid-prototyping frameworks. Our technology ...

Parallelz

Head of Engineering

Toronto, ON · On-site

$120 - $160/hr

Own the architectural design and technical roadmap end-to-end across the product and our cloud ... Graduate work and/or a research background in a related area. * Group Retirement Savings Plan ...

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Showing results 1-20

All JobsGraduate Cloud Engineer JobsGraduate Cloud Engineer Jobs in Toronto, ON

Graduate Cloud Engineer information

See Toronto, ON salary details

$27.2K

$111.6K

$174.2K

How much do graduate cloud engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for graduate cloud engineer in Toronto, ON is $111,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,459.00 and $140,287.00 per year, depending on experience, location, and employer.

What is a graduate cloud engineer?

A Graduate Cloud Engineer is an entry-level professional who helps design, implement, and maintain cloud computing solutions for organizations. They typically work with cloud platforms like AWS, Azure, or Google Cloud, assisting with the migration of systems to the cloud, ensuring security, and supporting cloud infrastructure. This role is ideal for recent graduates with a background in computer science, IT, or related fields, and offers opportunities to learn and grow in the fast-evolving cloud industry.

What are the key skills and qualifications needed to thrive as a graduate cloud engineer?

To thrive as a Graduate Cloud Engineer, you need a solid foundation in computer science principles, cloud computing concepts, and proficiency in programming languages such as Python or Java, often supported by a relevant degree. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and certifications such as AWS Certified Cloud Practitioner, are commonly expected. Strong problem-solving skills, teamwork, and effective communication help you excel in dynamic technical environments. These skills and qualifications enable you to efficiently design, deploy, and maintain cloud solutions that meet organizational needs.

What are some common challenges faced by graduate cloud engineers during their first year on the job?

Graduate Cloud Engineers often encounter challenges such as adapting to rapidly evolving cloud technologies and learning to work with various cloud platforms like AWS, Azure, or Google Cloud. Navigating complex cloud architectures and understanding the security and compliance requirements can also be demanding. Additionally, collaborating effectively within multidisciplinary teams and balancing hands-on support with ongoing learning can take some adjustment. However, these challenges provide valuable opportunities for skill development and professional growth.

What is the difference between Graduate Cloud Engineer vs Cloud Support Associate?

AspectGraduate Cloud EngineerCloud Support Associate
Required CredentialsBachelor's in Computer Science or related field, basic cloud certifications (e.g., AWS Certified Cloud Practitioner)Similar certifications, often entry-level, with focus on cloud support tools
Work EnvironmentHands-on cloud infrastructure development, deployment, and troubleshootingCustomer support, issue resolution, and technical assistance
Employer & Industry UsageTech companies, cloud service providers, startupsIT service providers, cloud vendors, enterprise support teams
Search & Comparison IntentUnderstanding entry-level cloud engineering rolesSupport roles in cloud environments

The Graduate Cloud Engineer typically focuses on developing and managing cloud infrastructure, requiring foundational technical skills and certifications. In contrast, a Cloud Support Associate primarily handles customer support and troubleshooting within cloud platforms. Both roles are entry-level and often overlap in certifications and work environment, but they differ in daily responsibilities and focus areas.

What are popular job titles related to Graduate Cloud Engineer jobs in Toronto, ON?

For Graduate Cloud Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Graduate Cloud Engineer jobs in Toronto, ON look for?

The top searched job categories for Graduate Cloud Engineer jobs in Toronto, ON are:

Graduate Cloud Engineer jobs near you
Infographic showing various Graduate Cloud Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 3% As Needed, 75% Full Time, 19% Part Time, and 3% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $111,589 per year, or $53.6 per hour.

Cloud/AI Platform Engineer

Randstad Canada

Toronto, ON

CA$75K - CA$141K/yr

Full-time

Medical, Life, Retirement

Posted 13 days ago

Job description

Application Deadline:

08/29/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology
AI Platform Engineer (New Graduate)

Location: Toronto, ON (Hybrid)
Job Type: Full-Time
Experience Level: New Graduate / Entry Level

About the Role

Are you looking to make your mark in AI? Are you an AI thought leader?

We are seeking a passionate and curious AI Platform Engineer (New Graduate) to help build, operate, and scale the next generation of AI infrastructure and platforms. This role is ideal for recent university graduates who are excited about cloud computing, artificial intelligence, machine learning platforms, developer tools, and large-scale distributed systems.

It's an opportunity that can make you an AI leader at BMO.

As an AI Platform Engineer, you will work with experienced engineers and data scientists to create reliable, secure, and scalable platforms that enable AI applications and machine learning workloads across the organization.

This is an opportunity to learn from industry experts while contributing to cutting-edge AI solutions that drive real business impact.

What You'll Do
  • Build and maintain cloud-native platform services that support AI and machine learning workloads.
  • Design and implement automation solutions using Infrastructure as Code (IaC).
  • Develop tools, APIs, and services that improve developer productivity and platform reliability.
  • Assist in deploying, monitoring, and scaling AI models and machine learning pipelines.
  • Collaborate with software engineers, data scientists, and product teams to operationalize AI solutions.
  • Monitor platform health and troubleshoot performance, reliability, and scalability issues.
  • Contribute to CI/CD pipelines and DevOps practices for AI and platform engineering teams.
  • Participate in system design discussions and code reviews.
  • Learn and apply best practices around security, observability, governance, and cloud architecture.
QualificationsRequired
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical field completed within the last 12 months.
  • Strong programming skills in one or more languages such as:
    • Python
    • Go
    • Java
    • C#
  • Understanding of software engineering fundamentals, including:
    • Data structures and algorithms
    • Object-oriented design
    • REST APIs
    • Version control (Git)
  • Familiarity with Linux operating systems and scripting.
  • Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
Preferred
  • Exposure to machine learning, generative AI, or large language models through coursework, projects, or internships.
  • Experience with containers and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with MLOps concepts and tools.
  • Understanding of CI/CD practices and automation.
  • Experience with infrastructure-as-code tools such as Terraform.
  • Contributions to open-source projects, hackathons, research, or personal technical projects.
What You'll Learn
  • AI platform architecture and operations at scale.
  • Cloud-native application design and deployment.
  • MLOps, LLMOps, and AI governance best practices.
  • Platform engineering and site reliability engineering principles.
  • Secure software development and enterprise cloud operations.
What We're Looking For

We're looking for individuals who:

  • Are naturally curious and eager to learn.
  • Enjoy solving challenging technical problems.
  • Thrive in collaborative environments.
  • Take ownership of their work and seek continuous improvement.
  • Are excited about the future of AI and cloud technologies.
  • Critical Thinking
  • Building and managing relationships.
  • Adaptability.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Data driven decision making.

Nice-to-Have Technical Skills

  • Azure AI Services, Azure Machine Learning, or Azure Kubernetes Service (AKS)
  • Kubernetes, Docker, Helm
  • Terraform or Bicep
  • GitHub Actions or Azure DevOps
  • Prometheus, Grafana, OpenTelemetry
  • PostgreSQL, Redis, or NoSQL databases
  • LangChain, Semantic Kernel, or other AI frameworks
  • Retrieval-Augmented Generation (RAG) concepts

Salary:

$75,900.00 - $141,900.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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