Reliability Engineer

Dawn Food Products Inc•Denver, CO

2d•$80,330 - $125,320•Onsite

About The Position

The Reliability Engineer improves asset reliability, equipment availability, and maintenance effectiveness across Dawn Foods’ Denver manufacturing facility by developing and implementing reliability-centered maintenance strategies. The role analyzes equipment performance, failure data, and maintenance metrics to identify improvement opportunities, reduce downtime, optimize lifecycle costs, and support standardized reliability practices and KPIs. The Reliability Engineer partners with Operations, Engineering, Maintenance, Safety, and Quality teams to lead root cause investigations, asset criticality assessments, preventive and predictive maintenance programs, and continuous improvement initiatives. The position also supports CMMS master data integrity, equipment commissioning, maintenance planning, and the development of technical standards, training programs, and reliability best practices. Success is measured by improvements in safety, asset uptime, maintenance cost control, equipment performance, and long-term manufacturing asset reliability.

Requirements

Bachelor’s degree in Mechanical, Electrical, Industrial, or a related Engineering discipline, with at least 3 years of experience in manufacturing, maintenance, reliability, or asset management; equivalent combinations of education and experience will be considered.
Demonstrated experience with preventive maintenance programs, reliability improvement initiatives, root cause analysis, CMMS administration, and equipment performance metrics in a manufacturing environment.
Strong analytical, project management, and communication skills, including the ability to lead cross-functional teams, support equipment commissioning, and drive continuous improvement in safety, quality, and asset reliability.

Nice To Haves

Professional certification such as Certified Maintenance & Reliability Professional (CMRP), Certified Reliability Engineer (CRE), or an equivalent reliability-focused credential.
Experience with predictive maintenance technologies, including vibration analysis, thermography, ultrasound, oil analysis, and condition-monitoring systems; applicable certifications are strongly preferred.
Advanced knowledge of Reliability-Centered Maintenance (RCM), Failure Modes and Effects Analysis (FMEA), Root Cause Analysis (RCA), and precision maintenance practices, with demonstrated success leading reliability improvements in a manufacturing environment.

Responsibilities

Develop, implement, and continuously improve preventive maintenance programs to increase equipment reliability, reduce downtime, and improve asset availability.
Analyze recurring equipment failures using root cause analysis methodologies and lead corrective actions to prevent future breakdowns.
Manage and improve maintenance data in the CMMS, including asset hierarchies, equipment records, preventive maintenance tasks, and critical asset identification.
Monitor and report reliability KPIs, including PM compliance, work order backlog, labor utilization, MTBF, and schedule completion, to drive performance improvements.
Support commissioning and startup activities for new, transferred, and modified equipment to ensure safe and reliable operation.
Partner with Maintenance, Operations, Quality, and Engineering teams to improve equipment performance, asset lifecycle management, and plant reliability practices.
Identify and implement predictive maintenance technologies and condition-monitoring techniques to detect potential equipment failures.
Lead continuous improvement initiatives, including 5S, failure analysis, after-action reviews, and reliability-focused best practices.
Support maintenance planning and scheduling by developing job plans, estimating labor requirements, and ensuring maintenance work is prepared for execution.
Ensure reliability activities comply with safety, food safety, environmental, and regulatory requirements while promoting asset care and operational excellence.
Perform other duties as assigned.