General familiarity with terms such as switches, routers, LAN/WAN, IP networking, Cat6/Cat6A, fibre optics, servers, and storage — in-depth technical expertise is not required.
Good documentation and Microsoft Office skills, particularly Excel and Word.
Good communication and coordination skills, with the ability to follow through on multiple moving parts.
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General familiarity with terms such as switches, routers, LAN/WAN, IP networking, Cat6/Cat6A, fibre optics, servers, and storage — in-depth technical expertise is not required.
Good documentation and Microsoft Office skills, particularly Excel and Word.
Good communication and coordination skills, with the ability to follow through on multiple moving parts.
...
Deep experience with CCTV or video surveillance systems — IP cameras, NVRs, video management systems, video analytics, and large-scale multi-site camera deployments.
Expertise in on-premise server and software deployment — Linux, containers (Docker/Kubernetes), networking, enterprise infrastructure, and security best practices.
Hands-on experience with AI and AI agents — you have delivered or led agentic AI / LLM-agent projects, and you actively use AI agents in your own workflows.
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Experience with CCTV or video surveillance systems — IP cameras, NVRs, video management systems, or video analytics platforms.
Experience with on-premise server and software deployment — Linux, containers (Docker), networking.
Demonstrated experience using AI, machine learning, and AI agent tools to improve delivery efficiency, reporting, or risk management — and interest in how AI agents are changing the delivery role itself.
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Experience with REST APIs, webhooks, JSON, authentication mechanisms, and system integrations.
Practical experience with workflow automation platforms, preferably n8n.
Hands-on experience with large language models and generative AI, including integrating and operating models such as Gemma, Qwen, or comparable models.
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