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CBRE
Reliability Engineer - Life Science - US Remote
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Job Description
Reliability Engineer - Life Science - US Remote CBRE Raynham, MA
• Remote Apply Dashboard Operations Leadership Automation Governance Mitigation Reliability Risk Management Asset Management Technical Services Root Cause Analysis Escalation Procedures Maintenance Scheduling Reliability Engineering Artificial Intelligence Continuous Improvement Process Failure Mode And Effects Analysis Corrective And Preventive Action (CAPA) Posted 2 days ago
Description:
About the
Role:
As a CBRE Reliability Engineer, you will monitor, analyze, and resolve system and infrastructure problems of mission-critical operational systems. This job is part of the Engineering and Technical Services job function. They are responsible for providing support, preventive maintenance, and repairs on equipment and systems.
What You'll Do:
Define, design, develop, monitor, and refine asset maintenance and reliability programs. Analyze maintenance, operational, and engineering data to identify trends, risks, and performance gaps. Review Asset Management dashboards to identify opportunities to improve data. Partner with Engineering, Operations, Maintenance, Automation, and Program teams to improve asset performance and data integrity. Develop risk management plans and identify emerging reliability risks and mitigation strategies. Develop casualty control plans, emergency drills, and escalation procedures for varying critical environments. Support root cause analysis (RCA), failure analysis, FMEA, RCM, and defect elimination activities. Develop corrective and preventive action plans. Drive defect elimination programs and long-term reliability improvements. Drive continuous improvement initiatives, maintenance effectiveness programs, and process standardization. Review SOPs, MOPs, maintenance procedures, and governance documentation for quality and compliance. Troubleshoot, diagnose, and resolve equipment and infrastructure issues. Maintain documentation of maintenance schedules, system configurations, and technical standards. Leverage analytics, automation, AI-enabled tools, and digital solutions to improve operational efficiency. Present findings, recommendations, and technical risks to stakeholders and leadership.
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301190