Edge Computing Engineer
1 week ago
The Edge Computing Engineer CCTV Support will be responsible for maintaining, troubleshooting, and optimizing edge computing devices connected to client CCTV camera networks. This role ensures low-latency video streaming, system reliability, and seamless integration of on-site camera systems into global monitoring and analytics command centres. The position requires both hardware and software troubleshooting expertise to maintain uninterrupted video data flow for mission-critical operations.
Key Responsibilities:
- Monitor and analyze edge device performance connected to client CCTV networks to ensure high availability, consistent streaming quality, and reliability.
- Provide technical support and troubleshooting for CCTV systems, including IP cameras, NVRs, PoE switches, and associated streaming infrastructure.
- Diagnose and resolve connectivity issues between CCTV systems and edge devices (e.g., IP conflicts, VPN configuration, latency optimization, network routing).
- Configure client cameras on edge devices to enable centralized, real-time monitoring from global command centres.
- Respond promptly to incidents and alerts to minimize downtime and maintain continuous video streaming.
- Implement software updates, firmware patches, and configuration adjustments to enhance system performance and security.
- Maintain security protocols and access controls to safeguard video data and system integrity.
- Document standard operating procedures, troubleshooting guides, and network configurations for internal use and process consistency.
Required Skills & Qualifications:
- Bachelor's degree in Computer Science, Information Technology, Electrical/Electronics Engineering, or a related discipline.
- Proficiency in Linux fundamentals (system navigation, network tools, and basic shell scripting).
- Working knowledge of at least one programming language — Python preferred for automation and diagnostics.
- Strong analytical, debugging, and problem-solving skills in distributed or resource-constrained environments.
- Hands-on experience with CCTV systems — including IP camera setup, NVR management, and video stream troubleshooting.
- Understanding of networking principles (TCP/IP, VPNs, subnets, latency management, IP addressing).
- Experience with hardware-level diagnostics for edge devices, cameras, switches, and related components.
- Excellent communication and documentation skills for collaboration across cross-functional and global teams.
Soft Skills:
- Ability to work both independently and within geographically distributed teams.
- Strong organizational and time management abilities with attention to technical detail.
- Proactive mindset focused on incident prevention, process improvement, and operational reliability.
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