Critical Infrastructure Controls Field Engineer, Field Engineering

Field Engineering supports the safe, reliable operation and continuous improvement of data centers and other mission-critical facilities. As infrastructure systems increase in scale and complexity, controls Basic qualifications: - Bachelor’s degree in Controls Engineering, Electrical Engineering, Mechanical Engineering, Automation Engineering, Computer Engineering, or a related technical discipline, with 4+ years of relevant controls experience; or equivalent practical experience. - 2+ years of hands-on experience designing, configuring, programming, installing, commissioning, optimizing, or servicing BMS, EPMS, PLC, SCADA, or comparable industrial and building automation systems. - experience developing or reviewing control Sequences of Operations, logic, code, points lists, drawings, wiring diagrams, network topologies, test procedures, or commissioning documentation. - Experience troubleshooting controls systems and performing structured root-cause analysis using trend data, alarms, event logs, field observations, and equipment evidence. - Ability to communicate complex technical findings clearly in written reports, design reviews, and stakeholder discussions. Preferred: - 6+ years of experience in controls design, programming, commissioning, service, optimization, or critical-infrastructure engineering. - Experience with controls in data centers, semiconductor facilities, hospitals, utilities, industrial plants, or other mission-critical environments. - Experience standardizing controls code, developing reusable templates or libraries, and managing configuration or version control across multiple facilities or equipment variants. - Strong understanding of controls communications and networking, including protocols such as BACnet, Modbus, MQTT, OPC, or comparable industrial protocols. - Experience using Python, SQL, statistical methods, and visualization platforms to analyze high-volume time-series data from BMS, EPMS, SCADA, data historians, or other operational technology systems. - Experience using generative AI or agentic tools to analyze technical documents, controls code, alarms, event data, and reports or to automate engineering workflows, with appropriate data governance, cybersecurity controls, human verification, and validation of outputs. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.