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Reliability Engineer

Riegelwood, NC

Role Overview

This position plays a key role in maximizing equipment uptime and improving overall operational performance across the facility. The Reliability Engineer will drive continuous improvement, introduce new maintenance strategies, and support long-term asset health through data-driven decision-making and technical expertise.

Key Responsibilities

Equipment Reliability & Failure Analysis

  • Investigate equipment failures and chronic issues, identifying root causes and implementing long-term corrective actions.

  • Collaborate with maintenance teams to refine work practices and prevent recurring breakdowns.

  • Recommend and execute equipment redesigns or upgrades to enhance reliability and reduce lifecycle costs.

Preventative & Predictive Maintenance

  • Develop and optimize preventive and predictive maintenance programs.

  • Implement lubrication standards and best practices.

  • Utilize reliability technologies such as vibration analysis, thermography, and oil analysis to monitor asset health.

Data & Performance Insights

  • Analyze plant performance data to identify trends, risks, and improvement opportunities.

  • Use computerized maintenance management systems (CMMS) to plan, track, and evaluate maintenance activities.

  • Provide training and guidance to maintenance personnel on reliability tools, processes, and methodologies.

Operational Excellence & Continuous Improvement

  • Lead initiatives focused on efficiency, cost reduction, and waste minimization.

  • Support special projects aimed at improving equipment performance and plant reliability.

  • Develop and implement systems, standards, and processes that strengthen long-term asset performance.

Qualifications

Required

  • Bachelor’s degree in Mechanical, Industrial, Electrical Engineering, or equivalent experience.

  • Experience working with industrial machinery, maintenance operations, or related technical fields.

  • Strong analytical skills and proficiency with technical tools and applications.

  • Effective communication and presentation abilities.

  • Self-driven, adaptable, and capable of solving complex problems in a fast-paced environment.

  • Proficiency with Microsoft Excel, Word, PowerPoint, and CMMS platforms (e.g., Maximo).

Preferred

  • Prior experience in manufacturing or heavy industrial environments.

 

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