Public Cloud Technical Support Engineer

Public Cloud Technical Support Engineer

Responsibilities

• Responsible for the daily management, configuration optimization, and troubleshooting of public cloud products across various domains, including computing, storage, databases, AI/machine learning, big data, and cybersecurity. Support product deployment and debugging based on business requirements to ensure stable and efficient cloud service operations.
• Serve as a technical liaison, communicating customer requirements, explaining technical solutions, and handling issue resolution. Prepare technical documentation, meeting minutes, and product materials to ensure smooth communication between internal teams and overseas clients.
• Provide customers with product training and operational guidance for public cloud services. Deliver tailored recommendations and optimization solutions based on business use cases to enhance customer experience and maximize cloud adoption value.
• Keep up-to-date with public cloud product releases and version updates, continuously learning new features and technical standards while providing technical consultation and support to both internal and external stakeholders.
• Collaborate with cross-functional teams to drive cloud-related project implementation, coordinate internal and external resources, resolve technical and communication issues during project execution, and ensure timely project delivery.

Requirements

• Strong knowledge of public cloud products, including functionalities, use cases, configuration rules, and troubleshooting methodologies, with the ability to independently handle deployment, debugging, and optimization tasks. Hands-on experience with Alibaba Cloud and/or AWS is highly preferred. Cloud certifications from major vendors are a plus.
• Minimum 3 years of experience in public cloud technical support, cloud solutions, or cloud operations roles. Familiarity with the cloud computing industry, cloud-native technologies, and distributed architectures is preferred.
• Familiar with Windows and Linux operating systems, with basic understanding of mainstream AI large language model (LLM) applications.
  

Regret to inform that only shortlisted candidates will be notified.
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EA Registration Number: R1878287
Business Registration Number: 201735941W.