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New Graduate Software Jobs in Toronto, ON (NOW HIRING)

Cloud/AI Platform Engineer

Toronto, ON ยท 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 ... Collaborate with software engineers, data scientists, and product teams to operationalize AI ...

Diploma in Civil Engineering Technology, Engineering Technician, or a related program (new or ... software (AutoCAD, MicroStation, Civil 3D, or similar) Proficiency with Microsoft Office and ...

Software Engineer

Toronto, ON ยท On-site

CA$90K - CA$135K/yr

Whether it's signing up new artists; ensuring we provide the right data to Spotify, YouTube, and ... You have an undergraduate or graduate degree in Computer Science (or related field) with 4+ years ...

Whether you are a new graduate or an experienced practitioner, we offer a supportive and ... Proficiency with computer applications, including MS Office Suite and proprietary clinical software

Whether you are a new graduate or an experienced practitioner, we offer a supportive and ... Proficiency with computer applications, including MS Office Suite and proprietary clinical software

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Showing results 1-20

New Graduate Software information

What does a new graduate software engineer do?

New Graduate Software Engineers are entry-level professionals who have recently completed their degree in computer science or a related field. They work as part of a development team to design, code, test, and maintain software applications. These engineers often receive mentorship and training on company-specific technologies, tools, and best practices. Their responsibilities may include fixing bugs, writing new features, and collaborating with other engineers to solve technical challenges.

What skills and qualifications are needed to thrive as a new graduate software engineer?

To thrive as a New Graduate Software Engineer, you need a solid understanding of programming languages (such as Java, Python, or C++), software development principles, and a relevant degree in computer science or a related field. Familiarity with version control systems (like Git), integrated development environments (IDEs), and sometimes foundational knowledge of cloud platforms or databases is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help new graduates adapt quickly and collaborate with teams. These skills are crucial for building reliable software, keeping up with evolving technologies, and integrating smoothly into professional development environments.

What are common challenges new graduate software engineers face during their first year, and how can they overcome them?

New graduate software engineers often find the transition from academia to the workplace challenging due to unfamiliar codebases, fast-paced environments, and adapting to industry tools and processes. It's common to initially feel overwhelmed when collaborating with experienced teammates or working on large-scale projects. To overcome these challenges, proactive communication, seeking mentorship, and dedicating time to understanding documentation and code reviews are key. Embracing a growth mindset and asking questions will also help accelerate your learning and integration into the team.

What is the difference between New Graduate Software vs Software Engineer?

AspectNew Graduate SoftwareSoftware Engineer
Required CredentialsBachelor's degree in CS or related field, internship experienceBachelor's or higher in CS, often with 1+ years of experience
Work EnvironmentEntry-level, training-focused, team collaborationFull responsibilities, project ownership, team-based
Employer & Industry UsageCommon for recent grads entering tech companiesStandard role across tech, finance, healthcare, etc.
Search & Comparison IntentLooking for entry-level roles, internships, or training programsSeeking experienced roles, career growth, or specialization

In summary, New Graduate Software positions are designed for recent graduates starting their careers, focusing on training and learning. Software Engineer roles typically require more experience and involve full project responsibilities. Both roles are common in tech industries but differ mainly in experience level and scope of work.

What job categories do people searching New Graduate Software jobs in Toronto, ON look for?

The top searched job categories for New Graduate Software jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for New Graduate Software jobs?

Cities near Toronto, ON with the most New Graduate Software job openings:

Infographic showing various New Graduate Software job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Cloud/AI Platform Engineer

Randstad Canada

Toronto, ON โ€ข On-site

CA$75K - CA$141K/yr

Full-time

Medical, Life, Retirement

Posted 11 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.