System Technical Support

Geek+ is a global technology company specializing in smart logistics. We apply advanced robotics and artificial intelligence technologies to create solutionsfor warehouse and factory operations.

With the rise of e-commerce and the demand for faster and more flexible movement of goods, warehouse and manufacturing operators are facing increasingly complex production and logistic challenges today. Speed, product diversification, same-day delivery, volume, safety… these concerns are impacting a wide range of industries, from apparel, retail, automotive, to even electronics, energy and pharmaceutical industries.

Geek+ was founded to be the solution to these problems. We make logistics affordable, efficient, flexible, safe and agile. Our vision is to establish a fully automated and intelligent supply chain globally.

Responsibilities:

• Conduct in-depth troubleshooting and resolution of complex technical issues escalated from L1 support, including system anomalies, performance bottlenecks, and integration failures
• Prepare detailed technical case studies and solution documentation, and continuously improve the team knowledge base
• Collaborate on system upgrades, working closely with R&D, product, and other departments to clearly describe the root cause of issues (involving databases, systems, or application logic) and drive problems to resolution
• Provide customer support and knowledge transfer, offering necessary technical training and guidance to internal L1 teams and customers to enhance front-line problem-solving capabilities

Requirements:

• Bachelor's degree or above in Computer Science, Automation, Logistics, or related fields
• Minimum 3 years of experience in system support/operations, with background in robotics, logistics automation, WMS systems, or large-scale internet system support

Preferred Qualifications (Advantages):

• Familiar with using AI technologies or tools, capable of leveraging AI-assisted tools for intelligent log analysis, failure prediction, code investigation, or automated documentation generation to enhance problem-solving efficiency; basic understanding of common AI models (e.g., machine learning, natural language processing) in business applications
• Able to use English/Chinese as a working language for technical communication, documentation reading, and writing; open to business travel or relocation (Toronto, Canada; London/Manchester, UK)
• Familiar with robot scheduling systems, Warehouse Management Systems (WMS), or Warehouse Control Systems (WCS)