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Data Center Cluster Operations Leader, AWS Data Centers

Amazon is hiring a Data Center Cluster Operations Leader, AWS Data Centers. It pays $182k-$273k a year and Level rates it ; you can apply on Amazon.

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  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

The Cluster Operations Leader manages Amazon Data Center Clusters and Colocation Operations within their assigned region. As the senior Infrastructure Operations leader, they oversee safety, security, availability, scaling, efficiency, and cost management.

Infrastructure Operations consists of two core functions: Data Center Operations (DCO) and Data Center Engineering Operations (DCEO). DCO manages server-level platforms supporting Amazon Retail and Amazon Web Services, while DCEO handles mechanical, electrical, and controls systems for critical environments. We seek a leader with experience on both DCO and DCEO systems. Though operating independently, a physical security team works closely with these functions to protect people, assets, and customer data.

The Cluster Operations Leader builds and leads high-performing teams across these functions. They manage daily operations while applying technical expertise to address emerging challenges. Their role requires both strategic oversight and the ability to dive deep into specific issues.

As a vital member of the management team, the Cluster Operations Leader helps scale the world's largest cloud computing infrastructure. The position demands innovation to solve complex daily challenges and drive operational excellence. Success in this role requires strong technical knowledge on both engineering (electrical and mechanical) and compute systems, process optimization skills, and dedication to achieving world-class operational performance.



Key job responsibilities
- Hire, manage, and develop the operations team, including compute and engineering operations managers, and their teams
- Achieve organizational performance goals for safety, security, availability, scaling, efficiency, and cost
- Plan and execute Infrastructure Operations for new Data Centers and Colocation expansions
- Operate and maintain mechanical, electrical, and controls systems in Amazon Data Centers, including preventive maintenance, corrective maintenance, and change management
- Manage Colocation Data Centers service providers to meet or exceed contracted performance SLAs
- Lead safety, security, and availability incident response, management, and resolution
- Improve operational processes, procedures, methods, and tools continuously

About the team
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

Basic qualifications

- 10+ years of relevant management experience in datacenter operations, facility engineering operations, information technology critical environment facilities, advanced high volume manufacturing, datacenter build-outs and scaling, or similar experience
- Bachelor's or Master’s degree in Engineering, Computer Science or a related field, or relevant industry experience
- Demonstrated track record in delivering complex analytical and quantitative projects through verbal and written communication
- Proven ability to hire, develop and manage high-performing geographically distributed technical teams
- Excellent written and verbal communications skills

Preferred qualifications

- Knowledge of mechanical, electrical, and controls systems for critical infrastructures
- Expertise in one or more continuous improvement methodologies such as Lean or Six Sigma
- Broad knowledge of information technology infrastructure domains such as compute server platforms, storage server platforms, server components, network devices, technologies and architectures, IT service delivery principles and best practices.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, OH, Jeffersonville - 182,300.00 - 272,500.00 USD annually

How we rate this

Data Center Cluster Operations Leader, AWS Data Centers 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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