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.
