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IoT Integration & Cloud Engineer

Job in Dammam, Eastern Province, Saudi Arabia
Listing for: Perfectvisionksa
Full Time position
Listed on 2026-05-27
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Key Responsibilities

  • Define and implement device-to-cloud protocols (MQTT, HTTPS, Web Socket) with secure transmission (TLS, certificates, token-based auth).
  • Design and document device provisioning, onboarding, and OTA update workflows.
  • Work directly with backend developers on APIs, data structures, message schemas, and device lifecycle management.
  • Coordinate with frontend developers so telemetry, alerts, and configurations appear correctly on the customer dashboard.
  • Build integration test rigs and automated scripts to validate end-to-end flows (device → cloud → dashboard).
  • Collaborate with the Hardware Engineer on device-side communication stack and payload design.
  • Monitor production fleets, troubleshoot connectivity and data issues, drive improvements.
  • Contribute to cloud-side tooling for diagnostics, remote configuration, and fleet health visibility.
  • Prepare integration documentation, API specs, and runbooks for support and field teams.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer, Electronics, or Software Engineering.
  • 3–6 years in IoT integration, backend, or full-stack development with connected devices.
  • Strong working knowledge of IoT communication protocols (MQTT, HTTP/REST, Web Socket, TCP/IP).
  • Solid experience with REST APIs, JSON, authentication (OAuth/JWT), and device provisioning patterns.
  • Proficiency in at least one backend language (Node.js, Python, or Go).
  • Basic understanding of frontend frameworks (React, Vue, or similar) to collaborate on device-driven UI features.
  • Experience with Git and Agile workflows.
Preferred Qualifications
  • Hands‑on with AWS IoT, Azure IoT Hub, or similar cloud platforms.
  • Experience with time‑series databases (Influx

    DB, Timescale

    DB) or message brokers (Kafka, Rabbit

    MQ).
  • Exposure to fleet management, ADAS, DMS, or industrial safety platforms.
  • Familiarity with edge AI devices and streaming video/telemetry pipelines.
  • Some embedded/firmware exposure (enough to debug device‑side issues collaboratively).
Inclusion & Diversity

At Perfect Vision, we believe in equal opportunity and are committed to creating a diverse and inclusive workplace. We warmly welcome and encourage applications from individuals with special needs (motor disabilities), as we provide fully equipped facilities and a friendly workspace designed to ensure they can perform their duties with the highest levels of comfort and professionalism.

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