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  • Network and Security Camera Engineer - Dombivli - Preventai

    Preventai
    Preventai Dombivli

    1 week ago

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    Description

    Job Description:

    Preventai is a fast-growing Swedish AI company transforming how surveillance infrastructure is used in retail.

    Our platform connects to existing camera systems and applies advanced Video Language Models (VLMs) to detect incidents and generate real-time alerts.

    We work with some of Sweden's largest grocery chains and are expanding our team to support increasingly complex networked environments.

    About the Role

    You will be responsible for integrating Preventai's platform into existing CCTV infrastructures, ensuring reliable and secure video transmission across diverse physical and network environments.

    This role requires expertise in networking, VPN architecture, IP camera systems, and video streaming protocols.

    You will work closely with client technical teams, Preventai engineers, and deployment personnel to ensure seamless setup and long-term performance.

    Responsibilities:

    • Design, configure, and deploy secure site-to-site VPNs to transmit video data to Preventai's cloud or edge analytics nodes
    • Set up and maintain firewalls, routers, and switches with attention to routing, security, and traffic prioritization (QoS)
    • Optimize transmission of high-resolution video feeds using RTSP, RTMP, SRT, and HLS protocols
    • Integrate with existing IP cameras, NVRs, and VMS platforms while adapting to legacy hardware constraints
    • Configure long-range wireless connections (P2P and P2MP) where physical cabling is not viable
    • Monitor, troubleshoot, and resolve performance bottlenecks across the entire video pipeline—from camera to end destination
    • Document configurations and network topologies to support scalability and operational handover

    Required Skills:

    • Advanced Networking: Deep knowledge of routing, switching, VLANs, NAT, and firewall configurations (preferred: MikroTik, Ubiquiti, Cisco)
    • QoS Implementation: Practical experience ensuring bandwidth prioritization for video transmission
    • Streaming Protocols & Codecs: Strong command of RTSP, RTMP, SRT, HLS and H.264/H.265 codecs
    • VPN & Security: Track record of deploying secure site-to-site VPN tunnels and managing encrypted video transport
    • Wireless Infrastructure: Hands-on experience with deploying and managing P2P and P2MP wireless bridge solutions
    • CCTV System Integration: Solid understanding of IP camera systems, NVRs, and VMS platforms (e.g., Milestone, Axis, Dahua)
    • Troubleshooting: Strong diagnostic skills across video, networking, and infrastructure layers

    Nice to Have:

    • Experience working with edge computing devices or local AI appliances
    • Familiarity with remote device monitoring tools and VPN orchestration platforms
    • Understanding of data privacy, encryption standards, and GDPR compliance in video surveillance
    • Situated or can move to Bangalore

    What We Offer:

    • Work in a high-impact role within a Swedish funded AI company
    • Direct influence on how cutting-edge AI systems are deployed across real-world infrastructures
    • Access to a highly technical team with expertise in AI, computer vision, and systems engineering
    • Competitive compensation and benefits
    • Remote-first setup with occasional on-site fieldwork
    • Opportunity to define and scale infrastructure practices from the ground up

    How to Apply:

    Send your CV, project references, and any documentation relevant to past CCTV or network integration work.

    Applications are reviewed on a rolling basis.

    Apply via LinkedIn or reach out to us directly with any questions.


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