Reliability Engineer

About the role

We are looking for an experienced Reliability Engineer to enhance the reliability, performance, and maintenance effectiveness of critical manufacturing assets in a heavy‑industrial environment. You will drive equipment uptime, reduce unplanned downtime, and improve overall asset health through preventative maintenance, root‑cause analysis, and reliability‑centered maintenance practices.

Key responsibilities

• Develop, improve, and manage preventative and predictive maintenance programs for critical plant assets.
• Analyze equipment failures and recurring maintenance issues to boost reliability and cut downtime.
• Lead and facilitate Root Cause Failure Analysis (RCFA) investigations for rotating and fixed equipment.
• Identify and prioritize equipment “bad actors” using reliability data, downtime trends, and maintenance history.
• Support maintenance and operations teams with troubleshooting of critical equipment and systems.
• Optimize spare‑parts strategies for critical assets.
• Utilize CMMS to analyze equipment history, maintenance trends, and reliability KPIs.
• Support predictive‑maintenance technologies such as vibration analysis, oil analysis, thermography, and condition monitoring.
• Collaborate with maintenance, operations, engineering, and leadership to drive continuous‑improvement initiatives.
• Participate in equipment reliability reviews, shutdown planning, and capital improvement projects.

Required profile

• Bachelor’s degree in Mechanical Engineering or related field preferred (experience may substitute).
• Minimum 5 + years of reliability engineering experience in a heavy‑industrial manufacturing setting.
• Strong background supporting large‑scale rotating equipment (pumps, compressors, turbines, gearboxes, blowers, motors, fans).
• Proven experience with preventative maintenance and reliability‑centered maintenance methodologies.
• Excellent communication, organizational, and cross‑functional collaboration skills.

Required skills

• Root Cause Failure Analysis (RCFA) and troubleshooting.
• Preventative maintenance and reliability‑centered maintenance.
• Predictive‑maintenance technologies: vibration analysis, oil analysis, thermography, condition monitoring.
• CMMS utilization for reliability data analysis.
• Spare‑parts optimization for critical assets.