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Cloud Support Engineer

1 month ago

Old Toronto, Ontario, Canada Amazon Full time
About the Role

We are seeking a highly skilled Cloud Support Engineer to join our team at Amazon. As a Cloud Support Engineer, you will be responsible for providing technical support to our customers, troubleshooting and debugging technical systems, and working with our internal teams to improve our services.

Key Responsibilities
  1. Provide technical support to customers through various contact channels, including telephone, email, and web/live chat.
  2. Drive initiatives to improve support-related processes and customer experience, including creating tutorials, how-to videos, and technical articles.
  3. Work with internal teams to provide feedback on how to improve our services and resolve complex customer problems.
  4. Continuously learn and develop new technical skills and professional competencies.
  5. Act as an interviewer and coach/mentor for new team members.
About the Team

Our team is a customer-facing global organization that provides technical support to our customers and internal teams. We operate on a follow-the-sun model, assisting a global list of companies and developers who are taking advantage of our growing set of services and features.

Why Amazon?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, which is why our customers trust our robust suite of products and services to power their businesses.

What We Offer

We value work-life harmony and offer flexible work hours and arrangements. Our team affords engineers options to work in the office every day or in a flexible, hybrid work model near one of our Amazon offices. We also offer a range of benefits, including mentorship and career growth opportunities, to help you develop into a better-rounded professional.

Requirements
  1. 1+ years of software development or technical support experience.
  2. Experience troubleshooting and debugging technical systems.
  3. Knowledge or experience with system administration, troubleshooting operating systems (Linux and/or Windows), and networking.
  4. Knowledge or experience with Hadoop ecosystems and data lake architecture.
  5. Bachelor's degree in computer science or equivalent.
  6. Knowledge or experience with data analysis techniques and big data or distributed systems.
  7. Understanding of cloud computing concepts and/or experience with cloud platforms.
  8. Experience scripting or developing in one or more programming languages.
  9. Knowledge of security concepts and best practices in securing application architectures.