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Entry Level Reliability Engineer Jobs in Toronto, ON

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 ... Monitor platform health and troubleshoot performance, reliability, and scalability issues.

JP Recruitment

Junior Fabricator

Vaughan, ON · On-site

This is an entry-level, hands-on role ideal for someone who enjoys working with tools, building ... Mechanical Engineering or relevant discipline an asset * Strong work ethic and reliability

Wood Plc

Radiation Protection Technician

Whitby, ON

... entry level experience in the nuclear industry, to join the Construction & Remediation group ... Bachelor's degree in nuclear engineering, radiation science or health physics (or related field ...

Wood Plc

Radiation Protection Technician

Toronto, ON

... entry level experience in the nuclear industry, to join the Construction & Remediation group ... Bachelor's degree in nuclear engineering, radiation science or health physics (or related field ...

Wood Plc

Radiation Protection Technician

Oshawa, ON

... entry level experience in the nuclear industry, to join the Construction & Remediation group ... Bachelor's degree in nuclear engineering, radiation science or health physics (or related field ...

All JobsReliability Engineer JobsEntry Level Reliability Engineer JobsEntry Level Reliability Engineer Jobs in Toronto, ON

Entry Level Reliability Engineer information

See Toronto, ON salary details

$21.9K

$79K

$153.2K

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

As of Aug 27, 2026, the average yearly pay for entry level reliability engineer in Toronto, ON is $78,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,762.00 and $109,271.00 per year, depending on experience, location, and employer.

What does an entry level reliability engineer do?

An Entry Level Reliability Engineer helps ensure that products, systems, or processes operate reliably and meet quality standards. They assist in analyzing failure data, identifying root causes of issues, and working with senior engineers to improve designs or maintenance procedures. Their tasks often include running tests, collecting data, and maintaining documentation. Entry level roles focus on learning industry standards and supporting projects that enhance reliability and performance.

What types of projects and responsibilities can an entry level reliability engineer expect during their first year on the job?

As an Entry Level Reliability Engineer, you will typically start by supporting senior engineers in collecting and analyzing equipment performance data, conducting root cause analyses for failures, and assisting with preventive maintenance planning. You may be tasked with monitoring asset health, updating reliability databases, and participating in team meetings to discuss improvement strategies. Over time, you’ll take on more independent projects, such as developing reliability models or leading smaller failure investigations, which helps build your technical expertise and teamwork skills. This collaborative environment offers valuable exposure to different engineering disciplines and sets a strong foundation for career advancement.

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

To thrive as an Entry Level Reliability Engineer, you need a background in engineering (such as mechanical, electrical, or industrial), strong analytical skills, and a basic understanding of reliability principles and failure analysis. Familiarity with tools like reliability modeling software, root cause analysis methods, and Computerized Maintenance Management Systems (CMMS) is commonly expected. Attention to detail, effective communication, and a collaborative mindset are standout soft skills in this role. These competencies are vital for ensuring equipment reliability, minimizing downtime, and supporting continuous improvement initiatives in technical environments.

What is the difference between Entry Level Reliability Engineer vs Maintenance Technician?

AspectEntry Level Reliability EngineerMaintenance Technician
Required CredentialsBachelor's in engineering or related field; certifications like Certified Reliability Engineer (CRE) beneficialHigh school diploma or technical training; certifications like HVAC, electrical, or mechanical licenses
Work EnvironmentOffice and plant floor; data analysis and equipment monitoringPrimarily plant floor; hands-on equipment repair and maintenance
Employer & Industry UsageManufacturing, energy, aerospace; focus on system reliability and performanceManufacturing, facilities, industrial plants; focus on equipment upkeep
Common Search & ComparisonYesYes

The Entry Level Reliability Engineer focuses on analyzing data, improving system reliability, and preventing failures, often requiring a degree in engineering. In contrast, Maintenance Technicians perform hands-on repairs and routine maintenance. While both roles support operational efficiency, the Reliability Engineer emphasizes analysis and planning, whereas the Technician emphasizes direct equipment repair.

Are entry level reliability engineers in demand?

Entry level reliability engineers are in demand across industries such as manufacturing, energy, and technology, as companies seek to improve equipment performance and reduce downtime. Skills in data analysis, maintenance strategies, and familiarity with reliability tools like FMEA or RCM increase employability in this field.

How to get into entry level reliability engineering?

To enter an entry-level reliability engineering role, candidates typically need a bachelor's degree in engineering, manufacturing, or a related field. Gaining skills in data analysis, root cause analysis, and familiarity with tools like MATLAB or Python can be beneficial, along with understanding maintenance and reliability concepts. Internships or relevant certifications, such as Certified Reliability Engineer (CRE), can also improve job prospects.

What are popular job titles related to Entry Level Reliability Engineer jobs in Toronto, ON?

For Entry Level Reliability Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Entry Level Reliability Engineer jobs in Toronto, ON look for?

The top searched job categories for Entry Level Reliability Engineer jobs in Toronto, ON are:

Entry Level Reliability Engineer jobs near you
Infographic showing various Entry Level Reliability Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 80% Full Time, 12% Part Time, 4% Temporary, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $78,982 per year, or $38 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 10 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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