Understanding of software architecture concepts - cloud vs. on-premise deployment, command-and-control platforms, digital twins, and system integration.
Proven ability to translate technical capability into commercial value, with strong presentation, proposal writing, and client-facing communication skills.
Ability to prepare clear technical documentation, case studies, and solution collateral.
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Understanding of software architecture concepts - cloud vs. on-premise deployment, command-and-control platforms, digital twins, and system integration.
Proven ability to translate technical capability into commercial value, with strong presentation, proposal writing, and client-facing communication skills.
Ability to prepare clear technical documentation, case studies, and solution collateral.
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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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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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