<p><strong>Location:</strong>Hong Kong<br><strong>Department:</strong>Technology <br><strong>Reports To:</strong>CEO<br><strong>Employment Type:</strong>Full-Time</p><p></p><p><strong>Job Summary</strong></p><p>We are seeking a highly skilled and motivatedTechnical IT Engineerto join our growing team. This role will be instrumental in designing, deploying, and maintaining high-performance computing (HPC) systems and AI-driven infrastructure. The ideal candidate will have a strong background in systems engineering, networking, and cloud technologies, with a passion for enabling cutting-edge machine learning and data science workloads.</p><p></p><p><strong>Key Responsibilities</strong></p><ul><li><p>Design, implement, and maintain high-performance computing clusters and AI infrastructure.</p></li><li><p>Manage and optimize server hardware, GPUs, storage systems, and networking components.</p></li><li><p>Collaborate with data scientists and AI engineers to ensure infrastructure meets performance and scalability needs.</p></li><li><p>Monitor system performance, troubleshoot issues, and ensure high availability and security.</p></li><li><p>Automate infrastructure deployment and configuration using tools like Ansible, Terraform, or similar.</p></li><li><p>Support hybrid cloud environments (AWS, Azure, GCP) and on-premise systems.</p></li><li><p>Maintain documentation for system architecture, configurations, and procedures.</p></li><li><p>Stay current with emerging technologies in HPC, AI, and IT infrastructure.</p></li></ul><p></p><p><strong>Qualifications Required:</strong></p><ul><li><p>Bachelor’s degree in Computer Science, Information Technology, or related field.</p></li><li><p>3+ years of experience in IT infrastructure or systems engineering.</p></li><li><p>Proficiency in Linux/Unix system administration.</p></li><li><p>Experience with GPU-based computing (e.g., NVIDIA CUDA, TensorRT).</p></li><li><p>Familiarity with virtualization and containerization (Docker, Kubernetes).</p></li><li><p>Strong understanding of networking protocols and security best practices.</p></li></ul><p></p><p><strong>Preferred:</strong></p><ul><li><p>Experience with AI/ML workloads and frameworks (e.g., TensorFlow, PyTorch).</p></li><li><p>Knowledge of HPC workload managers (e.g., Slurm, PBS).</p></li></ul><p>Certifications in cloud platforms (AWS, Azure, GCP) or relevant technologies.</p>