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Entry Level Cloud Engineer Jobs in Ontario (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 ...

Navcanada

Developer - Entry Level

Ottawa, ON · Hybrid

CA$91K - CA$114K/yr

Job Posting Title Developer - Entry Level Job Category Application / System Development Language ... Knowledge of the cloud and various cloud platforms * Knowledge of modern software development life ...

Perseus Group

Director, Support

Waterloo, ON · On-site +1

CA$85K - CA$104K/yr

Software Developer At GoldCare, we're on a mission to make healthcare smoother and smarter ... Work Experience (Entry-Level Friendly) * 0-2 years of professional experience supporting databases ...

Border&Fall

REQUIREMENTS Experience in Graphic Design/Fashion, Use of Photoshop, Illustrator, Creative Cloud ... Ability to work as part of a team with photographers, creative directors, web developers and brand ...

All JobsCloud Engineer JobsEntry Level Cloud Engineer JobsEntry Level Cloud Engineer Jobs in Ontario

Entry Level Cloud Engineer information

See Ontario salary details

$23.5K

$86.8K

$161K

How much do entry level cloud engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for entry level cloud engineer in Ontario is $86,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $127,500.00 per year, depending on experience, location, and employer.

What is an entry level cloud engineer?

Entry Level Cloud Engineers are professionals who assist in designing, implementing, and managing cloud-based solutions for organizations. They typically work with cloud platforms like AWS, Microsoft Azure, or Google Cloud to help migrate, deploy, or maintain applications and infrastructure. These roles are suitable for individuals who are new to cloud computing and often involve tasks such as configuring virtual machines, monitoring cloud resources, and supporting senior engineers. Entry level positions usually require foundational knowledge of cloud concepts, networking, and some scripting or programming experience.

What does an entry level cloud engineer do?

As an entry-level cloud engineer, you work as a junior engineer to learn more about cloud software and storage through hands-on training. Many of these roles are unpaid or paid internships rather than part-time or full-time employment. Your duties include tasks involved with cloud computing, like designing a cloud network or managing information stored in the cloud. You handle your responsibilities under the supervision of a skilled cloud engineer who trains you on the job. You need excellent computer, programming, and development skills and a willingness to learn how to work as a cloud engineer.

What are the key skills and qualifications needed to thrive as an entry level cloud engineer, and why are they important?

To thrive as an Entry Level Cloud Engineer, you need foundational knowledge of cloud computing concepts, networking, and scripting, often supported by a degree in computer science or a related field. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Cloud Practitioner or Azure Fundamentals, is highly valued. Strong problem-solving abilities, eagerness to learn, and effective teamwork set standout candidates apart. These skills are vital for building, maintaining, and optimizing cloud infrastructure in dynamic, collaborative technology environments.

What are some common challenges faced by entry level cloud engineers, and how can they be addressed?

Entry level cloud engineers often encounter challenges such as navigating complex cloud environments, adapting to rapidly evolving technologies, and understanding the security best practices required for cloud infrastructure. To address these, it's important to actively seek mentorship from experienced team members, participate in ongoing training, and regularly practice with cloud platforms like AWS, Azure, or Google Cloud. Collaboration with cross-functional teams—such as developers and security specialists—also helps in gaining a broader perspective and accelerating learning.

What is the difference between Entry Level Cloud Engineer vs Cloud Support Associate?

AspectEntry Level Cloud EngineerCloud Support Associate
Required CertificationsBasic cloud certifications (e.g., AWS Certified Cloud Practitioner)Basic cloud certifications often preferred
Work EnvironmentDesigning, deploying, and managing cloud solutionsProviding technical support and troubleshooting cloud issues
Employer & Industry UsageTech companies, cloud service providers, enterprisesIT service providers, cloud vendors, support centers
Common Search & Comparison IntentUnderstanding entry-level roles in cloud computingClarifying support-focused cloud roles

The Entry Level Cloud Engineer typically focuses on designing and deploying cloud solutions, requiring foundational certifications and technical skills. In contrast, a Cloud Support Associate primarily provides technical support and troubleshooting for cloud services. Both roles are entry-level but differ in responsibilities and daily tasks, catering to different career paths within cloud computing.

Are entry level cloud engineers still in demand?

Entry level cloud engineers are in high demand due to the increasing adoption of cloud computing across industries. Skills in platforms like AWS, Azure, or Google Cloud, along with knowledge of scripting and automation, enhance job prospects in this field.
More about Entry Level Cloud Engineer jobs

What are the most commonly searched types of Cloud Engineer jobs in Ontario?

The most popular types of Cloud Engineer jobs in Ontario are:

What are popular job titles related to Entry Level Cloud Engineer jobs in Ontario?

For Entry Level Cloud Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Entry Level Cloud Engineer jobs in Ontario look for?

The top searched job categories for Entry Level Cloud Engineer jobs in Ontario are:

Entry Level Cloud Engineer jobs near you
Infographic showing various Entry Level Cloud Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 14% Hybrid, and 29% Remote job distribution, with an average salary of $86,766 per year, or $41.7 per hour.

Cloud/AI Platform Engineer

Randstad Canada

Toronto, ON

CA$75K - CA$141K/yr

Full-time

Medical, Life, Retirement

Posted 8 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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