Uptime & Reliability Engineer — Predictive Maintenance Pro

4618 TSUS - Westminster; Westminster (SC); On-site; USD 90,000 - 120,000; Full time

Job summary

Sandvik Coromant is seeking a Reliability Engineer to improve uptime and reliability of manufacturing equipment in Westminster, SC. You will use analysis tools, develop maintenance strategies, and drive continuous improvement across sites. The role emphasizes CMMS leadership and data-driven decision making.

The ideal candidate has 3+ years in maintenance/reliability, a B.S. in engineering, and experience with CMMS, RCA/RCA tools, FMEA, Power BI, and Excel to optimize lifecycle performance.

Qualifications

• Bachelor’s degree in Mechanical or Electrical Engineering is required.
• 3+ years of maintenance/reliability experience in manufacturing.
• Experience with CMMS, RCA tools, RCM and FMEA; data analysis with Power BI and Excel.

Responsibilities

• Develop, implement, and improve PM/PdM/CBM programs for equipment, facilities and utilities.
• Establish asset criticality rankings to drive reliability initiatives and resources.
• Apply condition monitoring to support CBM programs and equipment analysis.
• Perform RCA and FMEA to identify opportunities and reduce maintenance cost.
• Lead cross-functional teams to eliminate bad actors through equipment improvements and training.
• Provide technical support for installation, modification, and relocation of equipment.
• Administer CMMS, create SOPs, maintenance plans, spare parts lists and reports.

Skills

Strong teamwork

Multitasking

Problem solving mindset

Self-motivated

Quick learner

Innovative mindset

Education

B.S. in Mechanical or Electrical Engineering

Tools

CMMS

RCA tools

RCM

FMEA

Power BI

Excel

Job description

Sandvik Coromant is seeking a Reliability Engineer to improve uptime and reliability of manufacturing equipment in Westminster, SC. You will use analysis tools, develop maintenance strategies, and drive continuous improvement across sites. The role emphasizes CMMS leadership and data-driven decision making.

The ideal candidate has 3+ years in maintenance/reliability, a B.S. in engineering, and experience with CMMS, RCA/RCA tools, FMEA, Power BI, and Excel to optimize lifecycle performance.