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Data Center Controls Engineer

Job in Trenton, Butler County, Ohio, 45067, USA
Listing for: Amazon Web Services, Inc.
Full Time position
Listed on 2026-08-25
Job specializations:
  • Engineering
    Systems Engineer, Data Engineering, Electrical Engineering
  • IT/Tech
    Systems Engineer, Data Engineering, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 135000 - 180000 USD Yearly USD 135000.00 180000.00 YEAR
Job Description & How to Apply Below

Amazon Web Services (AWS) is seeking a Data Center Controls Engineer to design, implement, and optimize control systems that power our global cloud infrastructure. In this role, you will develop automation, monitoring, and alarming strategies for power and cooling systems, support commissioning of new capacity, and analyze performance data to improve reliability and efficiency. You'll collaborate with cross-functional teams in a fast-paced, customer-obsessed environment, owning high-impact projects that shape the future of large-scale cloud data centers and enable rapid capacity delivery worldwide.

Responsibilities

  • Design, implement, and optimize data center control systems to support AWS capacity delivery goals.
  • Develop and maintain monitoring, automation, and alarming strategies for power, cooling, and environmental systems.
  • Collaborate with data center operations, networking, and infrastructure teams to ensure reliable, scalable capacity.
  • Analyze system performance data to improve efficiency, resilience, and cost-effectiveness of data center operations.
  • Support commissioning, testing, and validation of new capacity and infrastructure upgrades.
  • Create and maintain technical documentation, standards, and best practices for controls and automation.
  • Participate in incident response, root cause analysis, and continuous improvement initiatives.
  • Contribute to cross-functional projects that enhance global AWS data center reliability and availability.

Required Skills

  • Data center infrastructure systems
  • Building management systems (BMS)
  • Programmable logic controllers (PLCs)
  • SCADA systems
  • Automation and control engineering
  • Data analysis and performance monitoring
  • Electrical and mechanical systems fundamentals
  • Scripting or programming for automation (e.g., Python)
  • Control system design and commissioning
  • Root cause analysis and troubleshooting
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