Application Engineer – Video Analytics

Intozi; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Intozi is seeking an Application Engineer – Video Analytics to support deployment, integration, commissioning, and troubleshooting of video analytics solutions at customer sites across India. You will work closely with customers, system integrators, project teams, and internal engineering to ensure successful installation and operation.

The role demands hands-on expertise across networking, Linux, Docker, GPUs, IP cameras, ONVIF, REST APIs, and on-site troubleshooting.

Qualifications

• Hands-on experience on live networks, servers, and video analytics deployments.
• Proven ability to troubleshoot networking, Linux, Docker, and GPU issues in field installations.
• Experience with IP cameras, ONVIF, RTSP streams, and video surveillance tech.
• Strong scripting skills (bash/python) for automation and deployment.
• Excellent field trouble-shooting and ability to work with cross-functional teams.

Responsibilities

• Conduct site surveys and prepare technical requirements.
• Install and configure cameras, servers, network equipment, and analytics applications.
• Perform camera positioning and analytics-zone calibration.
• Visit customer sites for installation and commissioning.
• Validate analytics accuracy under real site conditions.
• Resolve field-level technical issues within agreed timelines.
• Coordinate with electricians, network teams, system integrators, and customer IT/security teams.
• Work independently at customer sites and provide regular project updates.

Skills

Networking

Linux

Linux debugging

GPU servers

Servers & storage

Docker

Distributed systems

REST APIs

Nginx

Databases

Scripting

Command line

Version control

IP cameras & streaming

General troubleshooting

Video surveillance tech

Camera configuration

Tools

Docker

Nginx

PostgreSQL

Git

ONVIF

CUDA

Job description

We are looking for an Application Engineer – Video Analytics to support the deployment, integration, commissioning, and troubleshooting of video analytics solutions at customer sites.

The candidate will work closely with customers, system integrators, project teams, and internal engineering teams to ensure successful installation and operation of video analytics systems.

Must-Have Skills

We need someone with real hands-on experience in these areas - not just theoretical knowledge. You should have actually worked on and troubleshot these on live servers and sites:

• Networking (expert-level) - IP addressing & subnetting, routing, switching, firewalls, VLANs, DNS, ports; hands-on with LAN, WAN, routers, switches,SSH and RDP and fibre optics. Confident setting up offline/local networks and integrating into a client's existing network.
• Linux - strong across various Linux distros; installation, configuration, command-line work, and managing services, permissions, users, and processes.
• Linux debugging - practical use of Linux commands for debugging networking and Docker issues.
• GPU & CPU servers - deploying on GPU/CPU servers; installing and configuring NVIDIA drivers and CUDA, and troubleshooting GPU issues on-site.
• Servers & storage - server setup and maintenance, RAID configuration, and ODM hardware experience.
• Docker - building, running, and managing containers; images, volumes, networks, and docker-compose (including GPU-enabled containers).
• Distributed systems - understanding and working with distributed application setups.
• REST APIs - working with and troubleshooting REST API integrations.
• Nginx - configuration, reverse proxy, port forwarding, and routing application traffic.
• Databases - hands-on with PostgreSQL.
• Scripting - Bash scripting for automation; Python and Python scripting for deployment and tooling tasks.
• Command line - comfortable with CMD and PowerShell.
• Version control - Git.
• IP cameras & streaming - hands-on with IP cameras and the ONVIF protocol; adding multiple streams, discovering devices, and troubleshooting stream/connection issues.
• General troubleshooting - diagnose problems on-site across network, server, GPU, storage, and application layers, and resolve them independently.
• Good understanding of IP cameras, VMS/NVR systems, and video surveillance technologies.
• Knowledge of camera configuration, RTSP streams, ONVIF, and video codecs such as H.264/H.265.

Field Responsibilities

• Conduct site surveys and prepare technical requirements.
• Install and configure cameras, servers, network equipment, and analytics applications.
• Perform camera positioning and analytics-zone calibration.
• Visit customer/project sites for installation and commissioning.
• Validate analytics accuracy under real site conditions.
• Resolve field-level technical issues within agreed timelines.
• Coordinate with electricians, network teams, system integrators, and customer IT/security teams.
• Work independently at customer sites and provide regular project updates.