Senior Reliability Engineer

Coeur Mining•Chicago, IL

2h•$120,000 - $130,000•Remote

About The Position

This role will be accountable to operationalize our Remote Monitoring Centre and lead the Implementation of the Asset Performance Management (APM) system for driving best-in-class process Machinery and Mobile equipment performance. This role will provide technical support and recommendations to improve reliability, availability, and lifecycle performance across mining operations. The position requires a strong foundation in classical reliability engineering combined with modern asset health monitoring, sensor data interpretation, OT/IT integration awareness, and applied analytics to triage anomalies to provide best course of actions to the site maintenance teams.

Requirements

Bachelor’s degree in mechanical, Electrical, or experienced Mechanic/Electrical tradesman/technician
8–15+ years of experience in maintenance execution, reliability, maintenance engineering, Planning and Scheduling or asset management within mining, heavy industry, manufacturing or oil & gas.
Proven involvement in implementing CBM / PdM programs.
Strong understanding of Asset failure modes, Sensor technologies and condition monitoring data.
Foundational knowledge of OT/IT integration concepts, Data historians and CMMS integration.
Working knowledge of predictive analytics concepts and machine learning applications in asset health.
Ability to translate data outputs into engineering actions.
Demonstrated hands-on experience with RCA, RCM, FMEA/FMECA and Bad actor elimination.

Nice To Haves

Experience with APM systems will be a plus
Reliability or asset management certifications are an asset (e.g., CRE, CMRP, ISO 55000, Six Sigma).
Fluency in both Spanish and English is preferred

Responsibilities

Lead the setup, implementation and sustainment of Remote Asset Health Monitoring for critical assets.
Develop asset health models that integrate field sensor data, Historian and maintenance system data.
Provide technical guidance on OT/IT integration concepts (historians, CMMS, APM platforms, data flows) and Data validation and contextualization.
Collaborate with IT, Data Analytics, and OEMs to ensure reliable and secure data pipelines.
Serve as the technical owner and reliability lead for the APM implementation.
Define and maintain the reliability framework underpinning the APM system, including: Asset hierarchies, Failure modes and health indicators, Risk and criticality models.
Provide technical input to configuration of Predictive models, Rules-based alerts and Health and risk dashboards.
Ensure APM outputs translate into Actionable maintenance work and measurable reliability and cost improvements.
Act as the primary liaison between Operations, Maintenance, IT, and the APM implementation team.
Design and implement standards, frameworks, and best practices for a Condition-Based Maintenance program.
Define Critical Asset Lists, Failure modes suitable for CBM/PdM, Sensor and data requirements (vibration, temperature, pressure, oil analysis, electrical, process data).
Work closely with operations and maintenance teams to ensure Field data quality, density, correct interpretation of condition indicators and Effective response workflows to asset health alerts.
Apply foundational data analytics concepts to support asset health insights.
Support or guide the use of Predictive analytics tools.
Validate model outputs using engineering judgement and field knowledge.
Continuously improve models based on operational feedback and failure history.
Provide technical reliability support for Fixed Plant (crushing, conveying, processing, utilities) and Mobile Equipment (haul trucks, shovels, loaders, drills, ancillary equipment).
Identify and eliminate bad actors through data-driven analysis and structured reliability methodologies.
Lead and facilitate Root Cause Analysis (RCA), RCM (Reliability-Centered Maintenance) and FMEA/FMECA.
Translate reliability findings into Optimized maintenance strategies, Asset care standards and Improved job plans and task frequencies.
Support lifecycle asset decisions including maintenance tactics, spares strategies, and asset replacement recommendations.
Develop and maintain Reliability engineering standards (CBM/PdM guidelines, Asset health monitoring playbooks).
Mentor and coach maintenance and reliability personnel on Reliability methodologies and Data-driven decision making.
Promote a culture of proactive, risk-based maintenance.