Area Maintenance Manager
Amazon · Patterson, CA · 1 wk ago
ManagementFull-time
About the role
Operations is at the heart of Amazon’s business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement and maintain all the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey!
Key job responsibilities
- Provide leadership and mentorship to a team of service technicians and automation engineers, fostering professional growth and performance
- Ensure rigorous adherence to safety protocols and procedures during maintenance activities across the site
- Design and implement comprehensive preventative maintenance programs that enhance operational efficiency
- Manage and coordinate external contractors while maintaining high-quality service standards
- Monitor Material Handling Equipment (MHE) metrics and partner with applicable team to address system performance issues and provide analysis across all operations
Basic Qualifications
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Engineering Technology, or Reliability Engineering, or 2+ years of Amazon RME (BB/3P) Full Time experience
- Work flexible schedule including weekends, nights, and holidays
- 4+ years of industrial maintenance experience
- 2+ years of direct leadership/supervisory experience
- 2+ years of Computerized Maintenance Management System (CMMS) experience
- 2+ years of Microsoft Office products and applications experience
Preferred Qualifications
- Master's degree, or Six Sigma Black Belt certification
- Experience working with Material Handling Equipment (MHE) integrators
- Experience maintaining material handling equipment and integrated systems
- Experience in project management
- Experience with statistical analysis