About the RoleAre you passionate about cloud-native technologies, DevOps practices, and Kubernetes? We are seeking a skilled and dynamic Technical Support Engineer to join our overseas delivery team in the market.
In this role, you will act as a critical technical bridge between our enterprise clients and our backend R&D teams. You will provide high-level after-sales technical support, hands-on guidance, and ensure the successful adoption of our container platform solutions.
This position offers a hybrid work model (Work from Home with regular travel to client sites).
Key Responsibilities- Client Technical Support: Provide on-site guidance, deployment support, and technical training for product trials and implementations.
- Issue Resolution: Troubleshoot and resolve complex technical problems (ticket processing), ensuring high client satisfaction and robust system performance.
- Sales Collaboration: Partner with the sales team to identify new business opportunities, provide after-sales technical solutions, and assist in preparing technical proposals, bids, and implementation plans.
- Product Optimization: Gather, analyze, and synthesize client feedback and market needs, delivering actionable insights to our backend product and R&D teams.
- Partnership & Engagement: Participate in industry marketing events, deliver technical keynote speeches, and foster strong technical collaborations with ecosystem partners.
Requirements & Qualifications- Education: Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
- Experience: Minimum of 1+ years of experience within IT, cloud computing, or Internet-related companies. Experience in after-sales support, DevOps engineering, system operations, or R&D for medium-to-large-scale enterprise projects is highly preferred.
Technical Domain Knowledge:
- Strong foundational knowledge of Infrastructure, Cloud-Native architecture, and Containerization.
- Hands-on familiarity or strong interest in Kubernetes (K8s), OpenShift (OCP), network storage, monitoring, logging, and automation tools.
- Soft Skills: Excellent problem-solving, analytical, and communication skills—with the ability to translate complex technical jargon into clear insights for non-technical stakeholders.