After Sales Technical Support Engineer (Kubernetes)
Private Advertiser Geylang Full-time
Work Arrangement: Hybrid (Client Site + Work From Home)
Employment Type: Third-party contract
Employment Type: Third-party contract
Language Requirement: Mandarin proficiency is required to support client communication.
Key Responsibilities- Provide customers with on-site guidance and product trial training, assist in resolving technical issues, and serve as the key technical liaison between customers and the company while maintaining positive customer relationships.
- Work closely with the sales team to identify business opportunities, propose suitable solutions, and deliver after-sales technical support.
- Prepare technical documentation including project proposals, tender submissions, testing reports, implementation plans, and other project-related materials.
- Gather and analyze customer requirements and market feedback, providing timely and accurate information to product and R&D teams.
- Participate in marketing activities, technical presentations, and keynote speaking engagements.
- Conduct technical discussions and collaborative initiatives with business partners.
- Manage and resolve customer support tickets in a timely and professional manner.
- Bachelor's Degree in Computer Science, Computer Engineering, or a related discipline.
- Minimum 1 year of experience in IT or internet-related industries.
- Familiarity with mainstream cloud computing technologies and products within the cloud industry.
- Experience in after-sales support, research and development, system operations, or maintenance of medium to large-scale projects is preferred.
- Strong communication skills with the ability to explain technical concepts effectively to both technical and non-technical audiences.
- Ability to work independently as well as collaboratively within a team environment.
- Strong analytical thinking and problem-solving abilities.
Candidates with a strong experience in the following areas are encouraged to apply:
- Cloud Native Technologies
- DevOps Practices
- Kubernetes
- Container Platforms
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