Experience with at least two of the following Virtualization Technology/Platforms: VMware, Xen, KVM, OpenStack, Cloud Stack, Azure Stack- Experience with cloud orchestration, configuration management and auto-scaling techniques -
Experience with automation tools such as Salt/Chef/Puppet/Ansible- Experience with load balancing setup for TCP/IP, HTTP, DNS, routings.- Experience in using software version control- Knowledge of IT security standards, for instance from CIS or IM8.
Experience in IT security policy management and enforcing IT security
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Administer cloud-based infrastructure deployment which includes tasks such as provisioning/de-provisioning of resources, user administration, monitoring computing resource utilization, backup/restore and incident management.
Troubleshoot, perform root cause analysis, implement corrective/preventive actions during and after an incident. Fix and document problems and implement preventive measures.
Support audit and infrastructure/network security scans, disaster recovery and security related drills.
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Commission new stores end to end — rack layout, structured cabling, router/firewall and managed switch configuration, VLAN segmentation (management / POS & token / IoT machines / CCTV / staff), access point setup, WireGuard tunnel back to HQ, Zabbix agent registered.
Bring the machine layer online — wire and address washer/dryer controllers, verify RS485/Modbus TCP connectivity, pull and run the Docker container for the IoT service, confirm the FastAPI endpoint is reachable and returning correct machine state, and prove each machine reads and writes before handover.
Diagnose faults to root cause — machines become offline, a token terminal drops off, a store loses its tunnel. You isolate it layer by layer (cable → link → IP → VLAN → route → firewall → service → application) and document what it actually was.
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Commission new stores end to end — rack layout, structured cabling, router/firewall and managed switch configuration, VLAN segmentation (management / POS & token / IoT machines / CCTV / staff), access point setup, WireGuard tunnel back to HQ, Zabbix agent registered.
Bring the machine layer online — wire and address washer/dryer controllers, verify RS485/Modbus TCP connectivity, pull and run the Docker container for the IoT service, confirm the FastAPI endpoint is reachable and returning correct machine state, and prove each machine reads and writes before handover.
Diagnose faults to root cause — machines become offline, a token terminal drops off, a store loses its tunnel. You isolate it layer by layer (cable → link → IP → VLAN → route → firewall → service → application) and document what it actually was.
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On-Site Client Deployment: Work directly at the client’s designated location in KL City Centre to execute cloud infrastructure projects, deliver system integration, and manage technical client requirements.
Cloud Infrastructure Provisioning: Design, deploy, and maintain secure, highly available cloud environments (AWS, Azure, or GCP) aligned with client security and operational policies.
Automation & IaC: Write and manage clean Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Bicep to automate provisioning and minimize manual configuration.
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Lead end-to-end project delivery, from technical discovery and solution scoping through on-premise deployment and final handover.
Work hands-on with CCTV / video surveillance environments — IP cameras, NVRs, video management systems (VMS), and live video feeds — to plan and execute AI Vision deployments across client sites.
Plan and oversee on-premise server and software deployment: hardware sizing, Linux environments, containers (Docker), networking, and security considerations, in partnership with our engineers.
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Build and lead the project delivery function: hire, mentor, and manage project managers; set delivery standards, playbooks, and KPIs.
Own portfolio-level delivery — timelines, budgets, quality — across all concurrent AI Vision, system integration, and enterprise deployment projects.
Personally lead the largest, most complex programs: CCTV / video surveillance rollouts, multi-site on-premise server and software deployments, and agentic AI initiatives (multi-agent orchestration systems, natural-language query layers over real-time vision event data, LLM tool-use and automation).
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