Level

Amazon

Data Center Controls Engineer, Data Center Capacity Delivery - Controls

Amazon is hiring a Data Center Controls Engineer, Data Center Capacity Delivery - Controls . Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 21,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

Are you passionate about keeping critical infrastructure running at massive scale? As a Data Center Controls Engineer on the global controls team, you will troubleshoot complex issues, manage projects, and maintain the building management system (BMS) and electrical power monitoring system (EPMS) that govern the mechanical and electrical systems powering Amazon data centers. You will develop new processes and standards while finding creative ways to improve controls across a rich ecosystem of generators, uninterruptible power supplies, switchgear, power distribution units, variable frequency drives, transfer switches, chillers, pumps, cooling towers, heat exchangers, and air handling units. These components interact through open and proprietary communications protocols, and you will be at the center of ensuring they operate reliably and efficiently.

Key job responsibilities
- Design, configure, validate, commission, and maintain BMS and EPMS systems while training internal stakeholders on their operation and best practices.
- Plan and execute BMS and EPMS improvement projects end-to-end, defining scope, schedule, budget, and coordinating with partner teams and vendors to deliver on time.
- Troubleshoot high-complexity controls issues, review and iterate on sequences of operation, and develop or modify controls logic programming and graphical user interfaces.
- Serve as a technical escalation point for in-service data centers, participating in the global on-call rotation and guiding less experienced engineers through risk mitigation during emergent situations.
- Develop risk assessments and operational dashboards, review quarterly maintenance results, and drive corrective actions to continuously improve equipment reliability.

A day in the life
Your morning may start with a review of overnight BMS alerts and coordination with the on-call team to prioritize open items. From there, you could be on-site at a data center validating a controls sequence change alongside a vendor, then shifting to a project planning session where you scope an EPMS upgrade with partner engineering teams. You will regularly move between hands-on technical work and collaborative discussions with operations, commissioning, and design teams, balancing immediate troubleshooting needs with longer-term improvement projects.

About the team
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, and customers from the most successful startups to Global 500 companies trust our products and services to power their businesses. The global controls team sits within AWS Infrastructure Services, working alongside operations, networking, security, and commissioning teams to ensure data center mechanical and electrical systems perform reliably at scale.

We value varied experiences and encourage candidates to apply even if their career has followed a non-traditional path. Our employee-led affinity groups and ongoing learning experiences create an inclusive culture where you can grow, share knowledge, and make a meaningful impact on the infrastructure that keeps the cloud running.

Basic qualifications

- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
- Experience with Industrial Controls Systems, both hardware and software.
- Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or an equivalent engineering science plus 5+ years of relevant controls experience, OR 10+ years of relevant controls experience in lieu of a degree.
- 5+ years of experience with industrial controls in critical environment (data center, pharmaceutical, oil & gas, petrochemical, laboratory, power, water etc.).
- 4+ years of general project or vendor management experience (request for proposals, bidding, change orders, quality control, and RFI and submittal tracking) associated with construction and project execution.

Preferred qualifications

- Experience designing, configuring, programming, installing, troubleshooting or servicing HVAC Controls or Electrical SCADA systems application specific controllers, software and networks.
- Experiencing using common industrial communication protocols (MQTT, BACnet and/or MODBUS).
- Demonstrated understanding of engineering documentation, electrical and mechanical diagrams, and standard operating procedures.
- Ability to manage multiple stakeholder deliverables, requirements, and navigate difficult situations.
- Experience designing data centers or critical MEP infrastructure
- Registered as a Professional Engineer (PE), or certified Project Management Professional (PMP).
- Prior AWS/Amazon experience
- 4+ Yr. Military Service

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 rate this

Data Center Controls Engineer, Data Center Capacity Delivery - Controls at Amazon rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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