Ingeniero de Mantenimiento Predictivo y Confiabilidad Energética

Placements24; Torreón; Hybrid; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Health and life insurance

Retirement savings plan

Flexible work schedule

Work from anywhere

Job summary

Placements24 is seeking a highly skilled Predictive Maintenance and Reliability Engineer for a fully remote role that supports critical energy assets across multiple sites, including near Torreón, Coahuila, MX. You will apply predictive maintenance, RCFA, and RCM to maximize asset life and availability while collaborating with on-site teams.

Ideal candidates hold a technical engineering degree and 5+ years in maintenance and reliability, with experience in condition monitoring and CMMS/EAM

Qualifications

• Bachelor's degree in a technical field related to engineering.
• 5+ years in predictive maintenance, reliability, or asset management.
• Experience with condition monitoring techniques (vibration, thermography, etc.).
• Proficiency with data analysis and CMMS/EAM software.

Responsibilities

• Develop and implement predictive maintenance programs using various monitoring technologies.
• Analyze equipment data to identify failures and recommend corrective actions.
• Conduct root cause failure analyses (RCFA) to prevent recurrence.
• Refine reliability-centered maintenance (RCM) strategies for critical assets.
• Collaborate to optimize maintenance schedules and resources.
• Manage maintenance data and leverage analysis software.
• Stay current with predictive maintenance advances and best practices.
• Prepare reports on equipment condition and reliability improvements.
• Contribute to maintenance budgets and spare parts strategies.
• Ensure safety regulations and industry standards are followed.

Skills

Analytical skills

Problem-solving

Decision-making

Strong communication

Interpersonal skills

Remote collaboration

Education

Bachelor's degree in Mechanical Engineering

Bachelor's degree in Electrical Engineering

Bachelor's degree in Industrial Engineering

Related technical field

Tools

CMMS/EAM software

Job description

About the Role

Our client, a leader in energy production and distribution, is seeking a highly skilled Ingeniero de Mantenimiento Predictivo y Confiabilidad Energética for a fully remote position. While the role is remote, it will heavily support critical operations and assets located across various sites, including those near Torreón, Coahuila, MX . This position is essential for enhancing the operational lifespan and reliability of our energy infrastructure through advanced predictive maintenance techniques and reliability-centered maintenance strategies. You will analyze equipment data, develop maintenance schedules, and implement programs to prevent failures and minimize downtime. The ideal candidate will possess a strong engineering background, expertise in condition monitoring technologies, and a data-driven approach to asset management. This is a remote-first role, offering significant flexibility while requiring close collaboration with on-site maintenance teams. We are looking for a proactive individual committed to optimizing asset performance and ensuring the highest levels of operational availability. Our client embraces a remote work culture that prioritizes collaboration, innovation, and employee well-being.

Key Responsibilities

• Develop and implement predictive maintenance programs using technologies such as vibration analysis, thermography, oil analysis, and ultrasonic testing.
• Analyze equipment condition data to identify potential failures and recommend corrective actions.
• Perform root cause failure analysis (RCFA) to understand underlying issues and prevent recurrence.
• Develop and refine reliability-centered maintenance (RCM) strategies for critical assets.
• Collaborate with maintenance and operations teams to optimize maintenance schedules and resource allocation.
• Manage maintenance data and leverage software tools for tracking and analysis.
• Stay current with advancements in predictive maintenance technologies and reliability engineering best practices.
• Prepare reports on equipment condition, maintenance effectiveness, and reliability improvements.
• Contribute to the development of maintenance budgets and spare parts strategies.
• Ensure compliance with safety regulations and industry standards in all maintenance activities.

Requirements

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or a related technical field.
• Minimum of 5 years of experience in predictive maintenance, reliability engineering, or asset management, preferably in the energy or industrial sector.
• Proven experience with condition monitoring techniques (vibration analysis, thermography, etc.).
• Strong understanding of RCM principles and failure analysis methodologies.
• Proficiency in data analysis and interpretation, with experience using CMMS/EAM software.
• Excellent analytical, problem-solving, and decision-making skills.
• Strong communication and interpersonal skills, with the ability to effectively collaborate remotely with field teams.
• Experience with relevant software for data analysis and reliability modeling is a plus.
• Certification in relevant predictive maintenance technologies (e.g., Mobius, SMRP) is highly desirable.
• Must be legally authorized to work in Mexico or have the ability to do so.

Benefits

This fully remote position offers a competitive salary, comprehensive health and life insurance, and a strong retirement savings plan. Employees benefit from a flexible work schedule, opportunities for professional development, and the ability to work from anywhere. You will play a key role in ensuring the reliability and efficiency of critical energy infrastructure, contributing to a stable and sustainable energy supply. Join our innovative, remote-first team and advance your career in a challenging and rewarding field.