📍
Cajamar, Brazil

Automation Engineer, Amazon Reliability Maintenance Engineering - IntlRME

No experience
Technology & Digital
Engineering
Posted:
December 28, 2025

Amazon

Consumer goods marketplace and technology platform
76.7
Palpable Score
Apply >view company >

Description



PURPOSE OF THE JOB:
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 Brazil network as required.
- Interpreting both mechanical and electrical drawings plus understanding and developing improvement strategies for code conforming.

Basic Qualifications

- Bachelor's Degree;
- Experience with PLC controlled automation and issue diagnosis in a continuous process or production environment;
- Experience supporting a wide range of different conveyors and sortation systems;
- Experience in dealing with material handling, flow and capacity visualization and monitoring;
- Experience with Microsoft Office, SolidWorks, Ignition, Visio and AutoCAD;
- Advanced English Skills.

Preferred Qualifications

- Electrical or mechanical training degree in computer science, mechanical engineering, electrical engineering, or related fields.
- Understanding of ISO 13849 & 62061
- Experience in a multi-site environment.
- Project management experience.
- Knowledge of Six Sigma, data analysis and process improvement techniques.
- Experience with Amazon systems.

About the company

Amazon

Company overview
Amazon runs a wide set of consumer and enterprise businesses, including online retail, Prime Video and other subscription services, advertising, devices, and Amazon Web Services (AWS). Amazon also builds large-scale software and infrastructure for logistics, payments, and cloud computing, and hires across engineering, product, operations, corporate functions, and frontline roles. Amazon’s early-career hiring spans both office-based teams and operational sites, which means “entry-level” can look very different depending on the org.

Locations and presence

Amazon has major corporate hubs in Seattle and Arlington (HQ2) plus large engineering and operations sites across North America, EMEA, and Asia-Pacific. For many corporate roles, Amazon’s stated expectation has shifted to five days per week in-office for office-based employees (with exceptions depending on role and site).

Palpable Score

76.7
/ 100
Amazon is one of the most accessible early-career employers at scale, with recurring internships and graduate hiring across many disciplines and geographies. Amazon also provides unusually clear public information about interview mechanics and publishes pay ranges on a large share of roles, which supports informed decision-making. The biggest drag on outcomes is the combination of high-performance culture signals and recent corporate job cuts, which adds risk for early-career stability depending on team and org.
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