• 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 5+ years of design, implementation, or consulting in applications and infrastructures experience
• Knowledge of cloud architecture
• Experience migrating or transforming legacy customer solutions to the cloud
• Strong business acumen with the ability to identify the value cloud computing brings to customers.

Amazon Web Services, an Amazon.com Company, has been the world’s leading cloud provider for more than 17 years with the most mature, comprehensive, and broadly adopted cloud platform. We have over 200 fully featured cloud services, managed from 99 availability zones within 31 geographic regions across the globe. Millions of customers in over 240 countries - from the fastest growing start-ups to the largest enterprises, through to leading government agencies - all place their trust in Amazon Web Services to power their infrastructure, and deliver innovation.

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. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Amazon Web Services came to China in 2013, and has been relentlessly investing and expanding our infrastructure and business since then. Amazon Web Services launched its China (Beijing) Region (operated by Sinnet) in September 2016 and its China (Ningxia) Region (operated by NWCD) in December 2017. In 2019, Amazon Web Services added a new region in Hong Kong, making China the only country with three Amazon Web Services regions aside from the U.S. In 2022, Amazon Web Services launched Local Zone in Taipei. Amazon Web Services has also established an AI lab in Shanghai and two Io T labs in Shenzhen and Taipei. The Amazon Web Services Partner Network has thousands of Partners in China. Amazon Web Services has supported over 10,000 local startups and has provided cloud skills training to over 700,000 talents. Amazon’s first two utility-scale renewable projects—a solar farm and a wind farm—are also generating clean energy to the country’s grid.

You will leverage leading technologies such as cloud computing, big data, artificial intelligence/generative AI to help customers in the financial service industry (including banking, securities, insurance, asset management, wealth management, payments, Internet Finance, Fin Tech, etc.) in achieving technological and business transformation as well as global development.

Key job responsibilities
1. Understand the business and technical requirements of financial service industry customers.
2. Design solutions based on cloud products, open-source software, and partner products according to customer needs.
3. Conduct hands-on validation of the designed solutions and assist customers in completing Proof of Concept (POC).
4. Present solutions and conduct demonstrations to customers.
5. Assist customers with system deployment and continuous operations, continuously help customers optimize cloud architecture and costs, and enhance the security and resilience of cloud architecture.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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 Amaze Con (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’t achieve in the cloud.

AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team.

#AWSGCR

• Extensive experience in technical architecture design and optimization, as well as enterprise customer service (preferably in the financial service industry).
• Familiarity with two or more common technology domains, such as virtualization, storage, databases, networking, security, big data, machine learning, containers, Dev Ops, CI/CD, microservices architecture.
• Proficiency in at least one programming language: Java, C, C++, C#, Python, Node.js, Golang, Rust, etc.
• Experience in building workloads related to the financial industry, such as securities trading systems, quantitative factor mining, quantitative backtesting, payment gateways.
• Background in software development is preferred.
• Familiarity with common ISVs in the financial service industry is preferred.
• Financial industry certifications (such as CFA, FRM) are preferred.