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Cloud Computing Graduate Jobs in Ontario (NOW HIRING)

Randstad Canada

Cloud/AI Platform Engineer

Toronto, ON

CA$75K - CA$141K/yr

... 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 ...

BMO

CA$75K - CA$141K/yr

... 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 ...

Scotiabank

Principal Architect

Toronto, ON

... work, cloud computing, etc.) * 5+ years of experience in management consulting or corporate ... Undergraduate degree in business or engineering; graduate business degree/MBA is a strong asset.

Warner Music Group

Software Engineer

Toronto, ON

CA$90K - CA$135K/yr

You have an undergraduate or graduate degree in Computer Science (or related field) with 4+ years ... You have knowledge of AWS or other large cloud computing environments. * You have a strong ...

BMO Capital Markets

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

Deploy data infrastructure and distributed computing environments in the cloud using ... Qualifications Bachelor's or Graduate degree in Engineering, Computer Science, Mathematics, Physics ...

DNAstack

Bioinformatics Team Manager

Toronto, ON

Familiarity with cloud and/or HPC computing environments and reproducibility best practices. * A ... Graduate degree (Master's or PhD) in bioinformatics, computational biology, genetics, or a related ...

Unilever

CA$113K - CA$156K/yr

... computing, and cloud services within the scope and operating model of H3L. * Foster strong ... Graduate Degree in a technical field (Engineering, Computer Science, Statistics), Masters/PHD an ...

All JobsCloud Computing Graduate JobsCloud Computing Graduate Jobs in Ontario

Cloud Computing Graduate information

See Ontario salary details

$28.5K

$108K

$188K

How much do cloud computing graduate jobs pay per year?

As of Aug 30, 2026, the average yearly pay for cloud computing graduate in Ontario is $107,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a cloud computing graduate?

Cloud Computing Graduates are individuals who have recently completed a degree or certification program focused on cloud technologies, such as AWS, Azure, or Google Cloud. They possess foundational knowledge in designing, deploying, and managing cloud-based solutions. Typically, they are trained in areas like virtualization, networking, security, and application development within cloud environments. These graduates are prepared for entry-level roles in IT, cloud support, or cloud engineering and often continue to specialize as they gain experience.

What skills and qualifications are needed to thrive as a cloud computing graduate?

To thrive as a Cloud Computing Graduate, you need a solid understanding of cloud platforms (such as AWS, Azure, or Google Cloud), networking fundamentals, and programming skills, typically demonstrated through a relevant degree or certifications like AWS Certified Cloud Practitioner. Familiarity with cloud management tools, virtualization software, and continuous integration/continuous deployment (CI/CD) systems is highly valued. Strong analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills in this field. These skills and qualities are crucial for adapting to rapidly evolving technologies and successfully implementing cloud solutions in modern IT environments.

What types of projects or tasks can a cloud computing graduate expect to work on during their first year?

As a Cloud Computing Graduate, you can expect to be involved in a variety of hands-on projects, such as deploying and managing cloud infrastructure, assisting with cloud migration initiatives, and developing automation scripts to streamline operations. You'll likely work closely with senior engineers, architects, and cross-functional teams to support ongoing cloud-based projects and troubleshoot real-time issues. This role often provides opportunities to learn about different cloud platforms (like AWS, Azure, or Google Cloud), participate in training sessions, and gradually take on more responsibility as you gain experience.

What is the difference between Cloud Computing Graduate vs Cloud Engineer?

AspectCloud Computing GraduateCloud Engineer
Required CredentialsDegree in IT, Computer Science, or related field; basic understanding of cloud conceptsRelevant certifications (e.g., AWS, Azure); experience with cloud platforms
Work EnvironmentEntry-level, training-focused, often in team settingsOperational, project-based, involves designing and managing cloud solutions
Employer & Industry UsageTech companies, startups, consulting firmsLarge enterprises, cloud service providers, IT departments

The Cloud Computing Graduate typically starts with foundational knowledge and training, focusing on learning cloud concepts. In contrast, a Cloud Engineer has hands-on experience, managing cloud infrastructure and solutions. Both roles are essential in the cloud industry, but they differ in experience level and responsibilities.

What are popular job titles related to Cloud Computing Graduate jobs in Ontario?

For Cloud Computing Graduate jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Cloud Computing Graduate jobs in Ontario look for?

The top searched job categories for Cloud Computing Graduate jobs in Ontario are:

Cloud Computing Graduate jobs near you
Infographic showing various Cloud Computing Graduate job openings in Ontario as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $107,975 per year, or $51.9 per hour.

Cloud/AI Platform Engineer

Toronto, ON

Randstad Canada
See more jobs at Randstad Canadaexternal

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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