Reliability Technician

Quanta Consultancy Services Ltd; Kentucky; On-site; USD 60,000 - 95,000; Full time

Job summary

Quanta Consultancy Services Ltd is seeking a Reliability Technician to support a major US-based life sciences project in Ohio. The role focuses on developing and validating FMEAs for facility and manufacturing systems, using AI-assisted tools and engineering documentation to ensure accurate reliability assessments.

The successful candidate will translate information from P&IDs and drawings into actionable maintenance strategies, covering preventive, predictive, and run-to-failure approaches for

Qualifications

• Extensive experience in manufacturing, chemical-processing, utilities or similar industrial plant environments.
• Direct experience completing or contributing to equipment FMEAs, maintenance strategies, or reliability assessments.
• Proficiency reading P&IDs, equipment drawings or electrical diagrams to understand system relationships.
• Practical experience with pumps, electric motors and VFDs, and knowledge of failure modes.

Responsibilities

• Complete baseline FMEAs for facility, utility and manufacturing systems.
• Use AI-assisted tool to generate initial FMEA content, then validate and refine for accuracy.
• Identify credible failure modes, causes, effects and consequences for equipment and systems.
• Develop preventive, predictive, condition-based and run-to-failure maintenance recommendations.

Skills

FMEA

Maintenance planning

P&ID reading

Reliability analysis

Job description

Reliability Technician – US, Ohio – Initial 12-Month Contract – Life Sciences

Be part of a next-generation pharmaceutical project that’s transforming how medicines are made. We’re supporting a major new-build facility in Ohio, a multi-billion-dollar investment designed to push the boundaries of science and engineering. We’re looking for a Reliability Technician to support this project and help deliver this world-class program.

What you’ll deliver:

• Complete baseline FMEAs for facility, utility and manufacturing systems using drawings, OEM manuals, asset lists and vendor documentation.
• Use an approved AI-assisted tool to generate initial FMEA content, then validate and refine the output for technical accuracy.
• Identify credible failure modes, causes, effects and consequences for industrial equipment and systems.
• Develop practical preventive, predictive, condition-based and run-to-failure maintenance recommendations.

What you’ll need:

• Extensive experience in a manufacturing, chemical-processing, utilities or comparable industrial plant environment.
• Direct experience completing or contributing to equipment FMEAs, maintenance strategies, equipment-criticality assessments or reliability analyses.
• Demonstrated experience reading P&IDs, equipment drawings, electrical diagrams or other engineering documentation to identify equipment and understand system relationships.
• Practical experience working with or analysing pumps, electric motors and variable-frequency drives, including an understanding of common failure modes.