System Engineer (IT Infrastructure & AI Automation)
Company Overview:
We are a growing IT service provider in Hong Kong dedicated to delivering end-to-end technology solutions to enterprise clients. Joined by a collaborative and tech-driven team of 10–15 engineering professionals, you will play a central role in evaluating, deploying, and supporting modern IT solutions with a focus on automation and AI integration.
Job Summary:
We are looking for a proactive and forward-thinking System Engineer to handle IT solution evaluation, implementation, and post-sales technical support. In this role, you will work closely with cross-functional team members to deliver infrastructure, virtualization, backup, and cloud-native solutions. We strongly encourage creative problem-solving and expect the candidate to leverage AI tools and prompt engineering to streamline workflows, enhance troubleshooting, and automate routine tasks.
Key Responsibilities:
Solution Evaluation & Proof of Concept (PoC):
Assess modern IT infrastructure products, software, and enterprise solutions to match customer requirements.
Conduct technical evaluations, test environments, and PoC demonstrations for client projects.
Deployment & Setup:
Configure, install, and deploy enterprise IT hardware and software, including servers, storage systems, backup software and hypervisors.
Deploy and maintain Kubernetes (K8s) clusters and containerized environments.
VM workload migration between Hypervisors and Cloud platform
Perform basic security hardening on Operating Systems (Linux/Windows), Hypervisors, and Kubernetes clusters according to industry best practices.
Automation & AI Integration:
Utilize AI tools (e.g., LLMs, AI coding assistants, automated diagnostic tools) to accelerate script development, troubleshooting, and technical documentation.
Develop automation scripts (Bash, Python, Ansible, Terraform, etc.) to streamline setup, monitoring, and administrative tasks.
Actively propose and experiment with creative AI-driven solutions to improve operational efficiency.
After-Sales Support & Maintenance:
Provide Tier 2 / Tier 3 technical support, incident management, and root-cause analysis for enterprise clients.
Perform regular health checks, system upgrades, patches, and backup/disaster recovery drills.
Create and maintain comprehensive technical documentation, architecture diagrams, and operational runbooks.
Requirements & Qualifications:
Education & Experience:
Diploma or Bachelor’s degree in Computer Science, Information Technology, System Engineering, or a related discipline.
2–5 years of hands-on experience in IT infrastructure, system integration, or technical support within an IT service provider/SI context.
Technical Skills:
Core Infrastructure: Sound knowledge of server hardware, enterprise storage (SAN/NAS), networking fundamentals, and backup/recovery solutions (e.g., Veeam, Commvault).
Virtualization & Cloud-Native: Experience with Hypervisors (VMware vSphere, Hyper-V, or KVM) and basic hands-on experience with Kubernetes (K8s) / Docker.
OS & Security: Proficient in Linux (RedHat, Ubuntu) and Windows Server administration, including basic OS and environment hardening techniques.
Automation: Familiarity with scripting languages (Python, Bash) or automation platforms (Ansible, Terraform).
AI & Innovation Focus:
Practical experience utilizing AI platforms and tools in daily engineering workflows (e.g., AI-assisted coding, log analysis, automated script creation).
An innovative mindset with an eagerness to learn and apply emerging AI technology to IT operations.
Soft Skills & Languages:
Strong analytical, troubleshooting, and problem-solving skills.
Good communication and interpersonal skills to collaborate within a 10–15 person engineering team and interface with clients.
Proficient in written and spoken English and Cantonese (Mandarin is a plus).
What We Offer:
Opportunities to work with latest enterprise infrastructure technologies and cutting-edge AI tools.
Collaborative and supportive team environment (10–15 tech professionals).
Competitive salary package with performance bonuses.
Professional training and vendor certification support.
Interest parties can apply online via JobsDB or send your full resume with expected salary and availability to: 13th Floor, TAL Building, 49 Austin Road, Kowloon, Hong Kong. (Attn.: Talent Acquisition)