Reliability Engineer

Magnera's purpose is to better the world with new possibilities made real. For more than 160 years, the originating companies have delivered the material solutions their partners need to thrive. Through economic upheaval, global pandemics and changing end-user needs, they have consistently found ways to solve problems and exceed expectations. By bringing together these legacy companies, the distinct scale and comprehensive portfolio of products will bring customers more materials and choices. With a combined legacy of resilience, Magnera will build personal partnerships that withstand an ever-changing world.

We are seeking a highly skilled and detail-oriented Reliability Engineer to join our team at Magnera. The Reliability Engineer will be responsible for ensuring the long-term reliability and performance of our manufacturing systems, equipment, and processes. This role requires a combination of analytical thinking, technical expertise, and collaboration with cross-functional teams to drive improvements in system performance, minimize downtime, and optimize production efficiency.

JOB DUTIES & RESPONSIBILITIES:

Reliability Analysis and Improvement:

• Perform reliability analysis on manufacturing equipment and systems to identify potential failure modes and improve system performance. Utilize reliability-centered maintenance (RCM), failure mode effects analysis (FMEA), and other methodologies to enhance operational reliability.
• Maintenance Strategy Development:
  Develop, implement, and optimize preventive maintenance (PM) and predictive maintenance (PdM) strategies to extend the life of equipment and reduce unplanned downtime.
• Data Analysis and Reporting:
  Collect and analyze equipment performance data, failure rates, and maintenance metrics. Provide regular reports and recommendations to management regarding equipment health and performance trends.
• Root Cause Analysis (RCA):
  Lead root cause analysis investigations for equipment failures or performance issues. Recommend corrective actions to prevent recurrence and ensure continuous improvement.
• Continuous Improvement Projects:
  Collaborate with cross-functional teams, including production, maintenance, and quality, to implement continuous improvement initiatives aimed at optimizing equipment reliability and overall manufacturing performance.
• System and Equipment Monitoring:
  Monitor critical systems and equipment, ensuring that they are operating efficiently. Develop and implement monitoring systems to track and predict potential issues before they impact production.
• Risk Management:
  Assess and manage risks related to equipment failure and operational reliability. Ensure compliance with safety, environmental, and regulatory standards to maintain safe working conditions.
• Training and Support:
  Provide training and support to maintenance teams on best practices for equipment reliability, troubleshooting techniques, and predictive maintenance tools.
• Collaboration:
  Work closely with the engineering, operations, and maintenance teams to share knowledge and drive improvements across all facets of manufacturing.
• Perform other duties as assigned.

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or a related field OR 5-10 years of experience as a Reliability Engineer or in a similar role within a manufacturing environment.
• Strong knowledge of reliability engineering principles, including RCM, FMEA, root cause analysis, and predictive maintenance.
• Experience with maintenance management systems (SAP) and other reliability tools.
• Excellent analytical, problem-solving, and troubleshooting skills.
• Strong understanding of manufacturing processes, equipment, and maintenance strategies.
• Ability to work independently and collaboratively.
• Strong communication skills, both verbal and written, to effectively communicate with technical and non-technical teams.

PREFERRED SKILLS:

• Experience with vibration analysis, ultrasonic, thermography, or other predictive maintenance techniques.
• Knowledge of automation and control systems in manufacturing environments