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Division Reliability Engineer

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Greif, Inc.
Full Time position
Listed on 2026-10-09
Job specializations:
  • Engineering
    Maintenance Technician / Mechanic, Systems Engineer, Quality Engineering
Salary/Wage Range or Industry Benchmark: 130000 - 221000 USD Yearly USD 130000.00 221000.00 YEAR
Job Description & How to Apply Below

Greif is a global leader in performance packaging located in 40 countries. The company delivers trusted, innovative, and tailored solutions that support some of the world's most in demand and fastest-growing industries. With a commitment to legendary customer service, operational excellence, and global sustainability, Greif packages life's essentials - and creates lasting value for its colleagues, customers, and other stakeholders.

Division Reliability Engineer (Open)
  • Business:
    Sustainable Fiber Solutions
  • Supporting:
    Tacoma, WA | Milwaukee, WI | Cincinnati, OH | Taylors, SC | Austell, GA | Baltimore, OH
  • Network: 6 Mills | 7 Paper Machines
  • Travel:
    Regular travel to supported mill locations required
Summary

Greif is seeking an experienced Division Reliability Engineer to improve equipment reliability and maintenance performance across our Sustainable Fiber Solutions mill network. We’re looking for a true reliability professional who can assess equipment and maintenance practices, identify areas of opportunity, solve recurring problems, and help manufacturing sites implement sustainable improvements. You’ll partner with Maintenance, Engineering, and Operations teams across six mills to reduce unplanned downtime, improve equipment availability, and build stronger, more consistent reliability practices across the business.

What

You’ll Do
  • Develop and support reliability improvement plans across multiple manufacturing facilities.
  • Analyze downtime, maintenance, and equipment performance data to identify recurring failures and improvement opportunities.
  • Partner with site teams to troubleshoot chronic equipment issues, determine root causes, and implement sustainable corrective actions.
  • Strengthen preventive and predictive maintenance, equipment criticality, condition monitoring, lubrication, and outage planning practices.
  • Develop reliability KPIs, reports, and dashboards to track performance and prioritize improvements.
  • Support CMMS/EAM systems and maintenance work processes, including preventive maintenance, asset data, failure coding, reporting, and data quality.
  • Lead reliability assessments, Root Cause Problem Solving activities, and follow-up improvement plans.
  • Provide hands‑on reliability and troubleshooting support at mill locations when needed.
  • Develop and share reliability standards, tools, training, and best practices across the mill network.
  • Evaluate reliability technologies and support equipment upgrade, replacement, and capital planning decisions.
Qualifications
  • Bachelor’s degree in Engineering.
  • Typically 12+ years of relevant engineering, reliability, or industrial maintenance experience.
  • Proven reliability engineering experience in a manufacturing or industrial environment.
  • Strong knowledge of preventive and predictive maintenance, root cause analysis, equipment criticality, condition monitoring, and troubleshooting.
  • Experience with CMMS/EAM systems and maintenance work processes.
  • Strong technical understanding of mechanical and electrical systems, industrial instrumentation, and manufacturing processes.
  • Ability to analyze equipment and downtime data and translate findings into practical improvement actions.
  • Strong problem-solving, communication, training, and facilitation skills.
  • Ability to influence and collaborate effectively across multiple sites and functions.
  • Ability to manage multiple reliability initiatives and priorities.
  • Willingness to travel regularly to supported mill locations.
Why This Role Matters

This role provides the opportunity to influence reliability across an entire mill network. You’ll help our sites identify reliability gaps, eliminate recurring failures, reduce unplanned downtime, and strengthen maintenance practices that can be shared across the business.

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