IoT Integration & Cloud Engineer

Job Description

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 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, WebSocket, 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 (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). 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.