Cloud Support Engineer – AI/Machine Learning Full-time

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.

You will have the opportunity to deepen and broaden your technical expertise, engage with a wide range of customers from the smallest startups to the largest enterprises, and enjoy work-life balance.

You’ll frequently co-work with Technical Account Managers, Solution Architects, and Business Development Managers to ensure solution alignment and excellent customer experience. You engage with subject matter expects and AWS service development teams across the world when needed. Every day will bring exciting challenges and include learning new skills. Mentorship and coaching are very important at AWS – Experienced Amazonians are on-hand to mentor you throughout your career at AWS. Support Engineers have the opportunity and resources to become certified subject matter experts. As you grow at AWS, there are various opportunities, including joining AWS teams abroad.

Apart from working on a broad spectrum of technical issues, Support Engineers may also develop & host training, create technical articles, star in how-to videos, present at AWS events, participate in new hiring, write tools/scripts, or work with leadership on process improvement and strategic initiatives. At AWS, your contributions can bring significant positive impact to colleagues and customers globally.

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.

Engineers usually rotate between shift times and staggered weeks. Support Engineers have transparent work schedules, and do not need to join on-site customer meetings.

[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.

Although the majority of Taipei site’s customers prefer to communicate in Mandarin, some customers do require support using English. AWS Support Engineers frequently interact with international colleagues and study English technical documentation. If you have a 3rd language skill, do let us know! Instructor led training may include classes in both Mandarin or English.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

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.

Why AWS?

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.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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

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’

BASIC QUALIFICATIONS

– 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)

PREFERRED QUALIFICATIONS

– 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

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.