IoT Integration & Cloud Engineer

We are looking for an IoT Integration & Cloud Engineer to be the bridge between our devices and our platform. You will define how devices talk to the cloud work side-by-side with backend and frontend teams and ensure telemetry alerts and configurations are delivered reliably and securely from the field to the customer dashboard.

Key Responsibilities

• Define and implement device-to-cloud protocols (MQTT HTTPS WebSocket) 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

• Bachelors or Masters degree in Computer Electronics or Software Engineering.
• 36 years in IoT integration backend or full-stack development with connected devices.
• Strong working knowledge of IoT communication protocols (MQTT HTTP/REST WebSocket TCP/IP).
• Solid experience with REST APIs JSON authentication (OAuth/JWT) and device provisioning patterns.
• Proficiency in at least one backend language ( 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 (InfluxDB TimescaleDB) or message brokers (Kafka RabbitMQ).
• 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).

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.