Capacity Design Engineer

Overview

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.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The AWS Data Center Technical Services (DCTS) and Engineering Team is a new fast-growing and leading-edge research and development team that is rethinking the design for the critical arteries that connect the various pieces of hardware inside AWS’ data centers and edge sites.

As a member of this team, you will work directly with engineers and managers across the company to develop capacity management solutions for the physical layer. You will also work with industry suppliers and startups to develop requirements and recommend new technology.

• Ensure timely delivery of scalable fiber optic & copper plant designs
• Develop an automated solution for how we route and utilize our physical layer
• Collaborate with internal stakeholders to deliver designs that meet capacity and network requirements and turn-up timelines
• Identify and respond to risks and high-priority issues rapidly and effectively
• Support New Product Introduction activities that improve infrastructure quality, reduce cost and installation time
• Travel 20+% to review projects and coordinate with onsite personnel and contractors at AWS  Data Centers

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

• 3+ years of vendor management experience
• 4+ years of relevant work in a data center or other critical environment experience
• 5+ years of data center engineering or operations experience
• 5+ years of Microsoft Office including Outlook, Word, and Excel experience
• Bachelor s degree in Electrical Engineering, Mechanical Engineering, or a related field
• Experience in vendor management
• Experience in a data…