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Entry Level Cloud Developer Jobs in Toronto, ON (NOW HIRING)

Randstad Canada

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 ... Contribute to CI/CD pipelines and DevOps practices for AI and platform engineering teams.

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Entry Level Cloud Developer information

What is an entry level cloud developer?

An entry level cloud developer is a technology professional who designs, develops, and maintains applications and services that are hosted on cloud platforms such as AWS, Azure, or Google Cloud. They typically work with cloud-based tools, programming languages, and services to help organizations leverage the benefits of cloud computing, including scalability and cost-efficiency. Entry level cloud developers usually have foundational knowledge in software development and cloud technologies, and they assist in migrating, deploying, and optimizing applications in the cloud environment.

What are the key skills and qualifications needed to thrive as an entry level cloud developer?

To thrive as an Entry Level Cloud Developer, you need a solid grasp of programming languages (such as Python, Java, or JavaScript), understanding of cloud computing fundamentals, and often a relevant degree or certification. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as version control systems like Git, is typically required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively distinguish top candidates in this role. These skills are crucial for building reliable cloud solutions, adapting to evolving technologies, and contributing to team-based development projects.

What does a typical onboarding and training process look like for an entry level cloud developer?

As an Entry Level Cloud Developer, onboarding typically involves a combination of structured training sessions on the company's cloud platforms (such as AWS, Azure, or Google Cloud), paired with hands-on mentorship from more experienced developers. You'll likely spend your first few weeks familiarizing yourself with the organization's codebase, deployment processes, and cloud infrastructure tools. Regular check-ins with your team lead and opportunities to collaborate on small projects help build your confidence and technical skills. Most companies also encourage participation in knowledge-sharing meetings or workshops to support your ongoing professional development.

What is the difference between Entry Level Cloud Developer vs Cloud Engineer?

AspectEntry Level Cloud DeveloperCloud Engineer
Required CredentialsBasic cloud certifications (e.g., AWS Certified Cloud Practitioner), relevant programming skillsAdvanced certifications (e.g., AWS Certified Solutions Architect), extensive cloud experience
Work EnvironmentDevelopment-focused, coding, testing, and deploying cloud applicationsDesigning, implementing, and managing cloud infrastructure and solutions
Employer & Industry UsageStartups, tech companies, software firmsLarge enterprises, cloud service providers, IT consulting firms

Entry Level Cloud Developers primarily focus on coding and deploying cloud-based applications, often with basic certifications and limited experience. Cloud Engineers have a broader role involving designing and managing cloud infrastructure, requiring more advanced skills and certifications. Both roles are essential in cloud computing but differ in scope and responsibilities.

What are the most commonly searched types of Cloud Developer jobs in Toronto, ON?

The most popular types of Cloud Developer jobs in Toronto, ON are:

Entry Level Cloud Developer jobs near you
Infographic showing various Entry Level Cloud Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 77% Physical, 9% Hybrid, and 14% Remote job distribution.

Cloud/AI Platform Engineer

Randstad Canada

Toronto, ON • On-site

CA$75K - CA$141K/yr

Full-time

Medical, Life, Retirement

Posted 3 days ago

New

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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