Job Description

Pace Infocom is looking for a skilled and experienced

CCTV Networking Engineer

to join our team. This role requires expertise in

network architecture, CCTV installation, testing, and commissioning

, along with strong knowledge of

AI video analytics and Video Management Systems (VMS)

. The ideal candidate should have experience working on

enterprise and industrial projects

, ensuring seamless integration and optimal performance of security and surveillance solutions.

Key Responsibilities:

Design, install, test, and commission

CCTV surveillance systems

for enterprise and industrial environments. Configure and optimize

networking architecture

for high-performance video surveillance solutions. Work with

AI-driven video analytics

to enhance security and operational efficiency. Integrate and manage

Video Management Systems (VMS)

for large-scale deployments. Stay updated on the

latest advancements in CCTV technology

and implement innovative solutions. Troubleshoot and resolve technical issues related to

IP cameras, network configurations, and VMS software

. Collaborate with project teams to ensure smooth execution and timely delivery of CCTV solutions. Conduct system audits, maintenance, and upgrades to enhance system security and reliability.

Required Skills & Qualifications:

Strong knowledge of networking architecture

, including IP-based security systems. Hands-on experience in

CCTV installation, testing, and commissioning

. Experience working on

enterprise and industrial CCTV projects

. Expertise in

AI-based video analytics

for security and automation. Proficiency in

Video Management Systems (VMS)

and their integration. Understanding of CCTV industry standards, protocols, and best practices. Strong troubleshooting and problem-solving skills. Ability to work independently and manage multiple projects efficiently. Good communication skills and ability to collaborate with clients and internal teams.

Preferred Qualifications:

Certifications in

networking, security systems, or AI video analytics

. Experience with

facial recognition, behavior analytics, and perimeter security

solutions. Knowledge of

cloud-based video surveillance solutions

.
Job Type: Full-time

Pay: ₹97,032.00 - ₹536,478.13 per year

Work Location: In person