Cloud Support Engineer-BigData, AWS Mandarin Support

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and innovation.
$71,100 - $158,900
Cloud
Entry-Level Software Engineer
Hybrid
5,000+ Employees
1+ year of experience
Enterprise SaaS · Cloud
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Description For Cloud Support Engineer-BigData, AWS Mandarin Support

AWS is seeking a Cloud Support Engineer specializing in Big Data to join their global support team. This role offers an exciting opportunity to work with cutting-edge cloud technologies while helping customers succeed in their cloud journey. As a Cloud Ambassador across AWS products, you'll support services leveraging data and business insights, including machine learning/AI implementations.

The position focuses on supporting key AWS services such as EMR (Hadoop), DynamoDB (NoSQL), MongoDB, and Apache Cassandra. You'll be part of AWS Support Engineering, a customer-facing global organization operating on a follow-the-sun model. This team plays a crucial role in supporting both external customers and internal teams, putting you at the forefront of transformational technology.

Your responsibilities will include solving complex customer cases through various channels, driving process improvements, and contributing to the development of technical content and training materials. The role requires strong technical troubleshooting skills, the ability to work with multiple AWS services, and excellent communication skills in both English and Mandarin.

AWS values diverse experiences and maintains an inclusive culture through employee-led affinity groups and ongoing learning opportunities. The company offers comprehensive benefits, including medical coverage, equity compensation, and sign-on payments. Career growth is supported through mentorship programs and knowledge-sharing initiatives.

This position offers competitive compensation ranging from $71,100 to $158,900 per year, based on geographic location and experience. The role requires flexibility to work on a rotational schedule, including occasional weekends, making it ideal for adaptable professionals passionate about cloud technology and customer support.

Join AWS to be part of a team that's shaping the future of cloud computing while working with a global customer base and cutting-edge technologies. The role offers an excellent opportunity for professional growth, technical skill development, and the chance to make a significant impact in the cloud computing industry.

Last updated a month ago

Responsibilities For Cloud Support Engineer-BigData, AWS Mandarin Support

  • Solve customer cases through various contact channels (telephone, email, web/chat)
  • Apply advanced troubleshooting techniques and provide tailored solutions
  • Drive initiatives to improve support-related processes and customer experience
  • Provide feedback to internal AWS teams on service improvements
  • Work on complex customer problems spanning multiple AWS services
  • Continuously learn new technologies and develop technical skills
  • Act as interviewer and mentor new team members
  • Work 5 days a week on a rotational basis (including weekends)

Requirements For Cloud Support Engineer-BigData, AWS Mandarin Support

MongoDB
Cassandra
Python
Java
JavaScript
Ruby
Go
  • Bachelor's degree in Engineering/Computer Science/Mathematics or related field or 1+ years of related professional experience
  • 1+ years of software development or technical support experience
  • Experience with system administration and troubleshooting (Linux and/or Windows)
  • Knowledge of networking (HTTP/s, TCP/IP, DNS, OSI model, routing, switching, firewalls)
  • Knowledge of Hadoop ecosystems (Apache Spark, Apache Hive)
  • Fluency in both English and Mandarin

Benefits For Cloud Support Engineer-BigData, AWS Mandarin Support

Medical Insurance
Equity
  • Medical, financial, and other benefits
  • Equity compensation
  • Sign-on payments
  • Mentorship and career growth opportunities
  • Work-life harmony
  • Inclusive team culture
  • Employee-led affinity groups
  • Ongoing learning experiences

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