Deployment Engineer | Video Analytics
Samriddhi Automations Private Limited (company site, opens in a new tab)2–5 yrsNoidaOn-siteDirect career pageEst. 6–12 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end deployment of AI-driven video analytics software including hardware sizing, OS setup, container installation/configuration, and system integration with cameras, NVRs, VMS and customer IT systems.
- Automate deployment using Docker, shell/Ansible scripts, manage remote updates/rollback, and maintain system health monitoring and cybersecurity hardening.
- Provide Level 2 post-deployment field support and troubleshooting, involving 30–50% travel to customer sites across India.
Minimum Requirements
- 2–5 years experience deploying software on Linux servers or embedded/edge devices.
- Diploma or B.Tech in Computer Science, Electronics, IT or equivalent.
- Strong Linux administration skills (Ubuntu) and networking fundamentals including IP addressing, VLANs, port forwarding, firewalls, VPN, PoE switches.
- Knowledge of IP cameras, NVR/DVR, RTSP/ONVIF protocols, video codecs, bandwidth/storage calculations; Bash and/or Python scripting for automation and troubleshooting.
Ideal Candidate Profile
- Experienced in deploying complex AI or video analytics software across multi-site environments with customer-facing responsibilities.
- Comfortable working across hardware (edge devices, GPUs), software stacks, networking, and video integration components in surveillance contexts.
- Operates well within deployment teams bridging AI software, QA, and IT operations to meet project timelines and specifications.