Reliability & Predictive Maintenance Specialist

Silver King Beverage Co; Salt Lake City (UT); On-site; USD 65,000 - 90,000; Full time

Job summary

Silver King Beverage Co. is seeking a Reliability Specialist to enhance equipment reliability through PM optimization, condition monitoring, and data-driven strategies in a challenging manufacturing environment.

The role emphasizes proactive maintenance, root-cause analysis, and collaboration with Production, Maintenance, and Engineering teams to reduce downtime and improve asset performance.

Qualifications

• Associate degree or technical certification in Industrial Maintenance, Mechatronics, Reliability Engineering, or related field preferred.
• 3–5 years of experience as a maintenance or reliability technician in a manufacturing setting.
• Experience with predictive maintenance techniques (vibration analysis, thermography, ultrasound) is preferred.

Responsibilities

• Design and implement predictive and preventive maintenance programs to minimize downtime and improve availability.
• Lead root cause analysis and failure-mode review to drive reliability improvements.
• Manage reliability-focused projects from concept to execution with measurable outcomes.
• Prioritize maintenance activities using RCMM/condition-based monitoring and preventive maintenance optimization.
• Track and interpret reliability metrics using CMMS/EAM data and inspection results.
• Collaborate with Production, Maintenance, and Engineering teams to drive proactive asset care and TPM practices.
• Develop long-term reliability and capacity growth roadmaps with cross-functional teams.

Skills

Predictive maintenance

Vibration analysis

Thermography

Ultrasound inspection

Data analysis

Problem solving

Education

Associate degree or technical certification in Industrial Maintenance/Mechatronics

Tools

SKF

Emerson

Fluke

CMMS/EAM systems

Job description

Silver King Beverage Co. is seeking a Reliability Specialist to enhance equipment reliability through PM optimization, condition monitoring, and data-driven strategies in a challenging manufacturing environment.

The role emphasizes proactive maintenance, root-cause analysis, and collaboration with Production, Maintenance, and Engineering teams to reduce downtime and improve asset performance.