Automation Engineer, Amazon Reliability Maintenance Engineering - IntlRME

AI in this role

Amazon Operations sits at the heart of the Amazon customer experience. We look after everything from the moment a customer clicks buy, to the moment their item is delivered – from desktop to doorstep.

Amazon has several Fulfillment Centers, Sort Centers and Delivery Stations, thousands of machines, and thousands of employees, all working together in harmony to make sure the right item gets delivered to the right person, in the right place, at the right time.

Working in Amazon Operations is for people who like to be active and give their all. We work in a busy, dynamic environment and are part of a bigger team delivering on the expectations of millions of customers every single day. We are open, inclusive and welcome individuality and diversity. Our teams take pride in a job well done, looking out for one another, ensuring the highest safety standards and playing their part in delivering the quality service Amazon is known for around the world.

Join us in the Amazon Reliability Maintenance Engineering team. We maintain and optimize technologies in the Global Amazon Warehouse & Delivery Network.

We are looking for motivated, customer-focused people who want to join our team as an Automation Engineer (AE). The focus of the AE role is to fault find, troubleshoot and improve controls solutions for automated material handling equipment such as conveyors, sortation systems, scanners, cameras, print and apply systems, scales, Human-Machine Interface (HMI) systems, and control cabinets. The AE will also provide training to the Engineering Technicians on device troubleshooting and preventive maintenance.

Key job responsibilities

- Be the site level Subject Matter Expert (SME) for all controls systems and sensors within the building. Work in a hands-on manner to actively monitor, fault find and repair systems in order to provide a high level of equipment availability to internal customers.
- Train technicians in the basics of control systems fault finding in order to raise the level of knowledge within the site.
- Work within the Global Controls network to enhance the capability to monitor Material Handling Equipment (MHE) metrics and provide visualization and data to internal customers by means of troubleshooting and prioritizing.
- Actively participate in or own continuous improvement projects coordinated by the Global Controls network.
- Work with Global Controls Engineering and Operations Engineering to ensure all systems are correctly documented and that accurate backup libraries are maintained.
- Work alongside global teams to support the installation and commission of new equipment.
- Support other sites in the Mexico network as required.
- Interpreting both mechanical and electrical drawings plus understanding and developing improvement strategies for code conforming.

Basic qualifications

- Experience with PLC controlled automation and issue diagnosis in a continuous process or production environment
- 2+ years of automated conveyor systems and controls experience
- Experience in engineering and estimating material handling and storage systems
- Experience with AutoCAD, Revit, Bluebeam, and MS Office Suite
- Experience in English-language communication skills, both written and verbal
- Bachelor's degree

Preferred qualifications

- Experience in dealing with material handling, flow and capacity
- Experience with Industrial control systems, both hardware and software

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we score this

Automation Engineer, Amazon Reliability Maintenance Engineering - IntlRME at Amazon scores 35 out of 100 for how much of the daily work is AI. That makes it AI Level 1 of 4 (Little AI). The level is about AI in the job, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.