Amazon Cloud Support Engineer - AI/Machine Learning 

Taiwan, Taipei, Taipei 

427221379

As a Cloud Support Engineer at AWS, the world’s most comprehensive and broadly adopted cloud platform, you will use your engineering expertise and skills to provide high quality technical solutions that help customers achieve their business goals. You dive deep into complex questions to find the root cause and ensure the customer’s specific requirements are fulfilled. Customers consult you about their plans and problems through various contact channels including telephone, email, and web/live chat. You listen carefully to fully understand each customer’s concerns and requirements. You guide customers by sharing facts that are backed by your troubleshooting findings and log data.Your work-life balance is important. We focus on productivity and flexibility at work. We operate on a follow-the-sun model - we work in the daytime or early evening, and handover to other Support Engineering sites during the night. Some weeks are staggered, which means your working days may be either Sunday-Thursday, Monday-Friday, or Tuesday-Saturday.[Position Requirements]
This role focuses on AI/ML and NoSQL technologies, and you will work with customers using AWS Services including Bedrock, SageMaker, DynamoDB and more.All Cloud Engineers need to understand networking concepts such as network layers (the OSI model), IP connectivity, TCP, UDP, DNS, HTTP, and how to troubleshoot common connection issues. AWS new hire training includes these topics, so you will study these more during onboarding. Cloud Engineers at AWS Taipei need excellent communication skills in Mandarin.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.Mentorship & Career Growth
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.Work/Life Balance

- Experience or knowledge in Machine Learning, Deep Learning, Artificial Intelligence and GenAI
- Experience with managing network infrastructure (TCP/IP, DNS, routing protocols, and firewalls) and system administration (Linux or Windows)
- Experience with programming/scripting (Python, Java, Scala, C, C++, Perl, JavaScript)

- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent technical work experience
- Experience with cloud platforms (AWS, Azure, Google Cloud)
- Experience with DynamoDB or other NoSQL database solutions
- Demonstrated ability to lead technical discussions with stakeholders
- Demonstrated ability in analysis and troubleshooting