Edge Computing Engineer

1 week ago

Guntur Mangalagiri Vijayawada, India Riverside Solutions Full time ₹ 9,00,000 - ₹ 12,00,000 per year

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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