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Turing AI Cloud VMS Architect - Remote

nTech SolutionsUnited States🇺🇸United StatesPosted 17 Aug 2026

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Title: Turing AI Cloud VMS Architect

Location: Cumming, GA.

Duration: 5 Months Contract

Job Description:

  • This resource should have solid experience designing and deploying cloud-native physical security solutions. They are looking for an expert bridging Turing AI Cloud VMS with Brivo access control systems to build automated, intelligent, high-availability security ecosystems. Proven track record of leveraging REST APIs, edge analytics, and cloud video management to optimize enterprise security operations.

CORE COMPETENCIES

  • Physical Security Platforms: Turing AI Cloud, Brivo Access Control, Brivo OnAir, Eagle Eye Networks VMS
  • System Integration: RESTful APIs, Webhooks, XML, SOAP, Custom API Gateways
  • Cloud Infrastructure: AWS (Lambda, EC2, S3), Docker, Kubernetes, Terraform (IaC)
  • Languages & Scripting: Python, Node.js, Bash, SQL, C++
  • Networking & Protocols: TCP/IP, UDP, TLS Encryption, RTSP streaming, Network Architecture

RESPONSIBILITIES

  • Must have led engagements as architecting and executing a multi-site deployment integrating Turing AI Cloud with Brivo Access Control unifying global site access into a centralized dashboard.
  • Experience Programming custom webhooks and utilizing the Brivo API Platform to link 450+ door readers with Turing CORE AI licensed cameras, mapping up to 4-6 smart cameras per reader for automated event-triggered video capturing
  • Configuring Turing Camera Edge Analytics to instantly send real-time alerts to the Brivo Security Suite upon detecting unauthorized tailgating or suspicious behaviour.
  • Optimizing data pipeline synchronization using Python, reducing latency between Brivo credential swipes and Turing cloud-case generation by 40%.
  • Experience in replacing legacy on-premise NVRs with scalable Turing Vision Cloud VMS infrastructure, improving video uptime to 99.99%.
  • Managing secure API token authentications and mapped Control Panel IDs (CP #) to establish end-to-end encrypted tunnels between cloud endpoints and physical controllers.

Sincerely,

Preetam Raj

Lead Technical Recruiter

nTech Workforce Inc.

D: EXT: 726

E:

Skills

Docker
Node.js
SOAP
SQL
AWS
Encryption
TCP/IP
Bash
Data Pipeline
C++
Kubernetes
Python
REST
Terraform

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