Reliability Engineer

Transarete; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading workforce solutions provider in Toronto is seeking a highly motivated Reliability Engineer. The role involves applying AI and Industry 4.0 methodologies, conducting root cause analysis, and developing predictive maintenance programs. Ideal candidates have a Bachelor’s degree in Engineering and at least 5 years of relevant experience. Competitive benefits include life insurance and healthcare.

Benefits

Life Insurance

Long Term Disability

Dental and Healthcare

Qualifications

• Minimum 5 years of experience in reliability engineering or similar role.
• Strong hands-on experience with AI / ML modeling and data analysis.
• Solid understanding of equipment lifecycle, asset management, and compliance requirements.
• Experience with predictive maintenance is required.

Responsibilities

• Apply Reliability and Industry 4.0 methodologies to reduce risks.
• Collaborate with Engineering on equipment design and lifecycle asset management.
• Ensure compliance with regulatory standards and track equipment history.

Skills

AI / ML modeling

Reliability tools (RCM, FMEA, RCA, SPC, CMMS)

Data analysis

Education

Bachelor’s degree in Engineering, Reliability, Data Science, or related field

Job description

Resolute Workforce Solutions | Full time

Resolute Workforce Solutions (Staff augmentation subsidiary of Brevitas Consulting Inc.) is dedicated to helping organizations achieve tangible results and lasting improvements via successful project delivery, continuous process improvement, and effective management of change. Our expertise is in Commissioning & Qualification, Validation, Quality Systems, Regulatory Affairs, Engineering, and Project Management.

We are looking for a highly motivated and energetic individual to join our team as a Reliability Engineer in Toronto, ON (On-site) .

Responsibilities :

• Apply Reliability and Industry 4.0 methodologies to reduce risks to capacity, quality, cost, and compliance.
• Use AI / ML to analyze complex datasets and support predictive maintenance initiatives.
• Identify and eliminate recurring equipment failures through root cause analysis and implementation of CAPAs.
• Maintain and manage equipment master data, spare parts, and preventive maintenance documentation.
• Collaborate with Engineering on equipment design, installation, and lifecycle asset management.
• Develop and lead predictive maintenance programs using risk mitigation and non-destructive technologies.
• Address obsolescence issues through risk assessments and parts standardization.
• Support facility shutdowns and ensure safe, efficient maintenance practices.
• Ensure compliance with regulatory standards and promote accurate equipment history tracking.

Qualifications :

Bachelor’s degree in Engineering, Reliability, Data Science, or related field.

Minimum 5 years of experience in reliability engineering or similar role.

Strong hands-on experience with AI / ML modeling and data analysis.

Proficiency in reliability tools (RCM, FMEA, RCA, SPC, CMMS).

Solid understanding of equipment lifecycle, asset management, and compliance requirements.

Experience with predictive maintenance is required.

Upon successful completion of probation, you will also be enrolled in our benefit programs :

Life Insurance

Long Term Disability

Dental and Healthcare

To Apply :

Click the “I’m interested” button below, or

E-mail your resume in MSWord or pdf format [e-mail] with the following details in the e-mail's Subject Line : Reliability Engineer : FIRST NAME, LAST NAME.

We thank all applicants in advance; however, we will only contact the candidates whose qualifications match closely to the job requirements.

We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

J-18808-Ljbffr