System Engineer (IT Infrastructure & AI Automation)
A system engineer at a Hong Kong IT service provider who evaluates, deploys, and supports enterprise infrastructure — servers, storage, backup, hypervisors, and Kubernetes — and provides Tier 2/3 post-sales support to clients. Uses AI tools and scripting (Python, Bash, Ansible, Terraform) to automate workflows and troubleshooting.
- Compensation
- Not disclosed
- Location
- Tsim Sha Tsui, Yau Tsim Mong District
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Devops
- Posted
Skills
Must have
- Diploma or Bachelor's degree in Computer Science, IT, System Engineering, or related discipline
- 2–5 years hands-on experience in IT infrastructure, system integration, or technical support within an IT service provider/SI context
- Sound knowledge of server hardware, enterprise storage (SAN/NAS), networking fundamentals
- Experience with backup/recovery solutions (e.g., Veeam, Commvault)
- Experience with hypervisors (VMware vSphere, Hyper-V, or KVM)
- Basic hands-on experience with Kubernetes / Docker
- Proficient in Linux (RedHat, Ubuntu) and Windows Server administration, including OS hardening
- Familiarity with scripting (Python, Bash) or automation platforms (Ansible, Terraform)
- Practical experience using AI platforms/tools in engineering workflows (AI-assisted coding, log analysis, automated scripts)
- Strong analytical, troubleshooting, and problem-solving skills
- Good communication and interpersonal skills for team collaboration and client interfacing
- Proficient in written and spoken English and Cantonese
Nice to have
- Innovative mindset with eagerness to apply emerging AI technology to IT operations
- Mandarin proficiency
Full description
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.