IoT Integration & Cloud Engineer

About the role

We are seeking an IoT Integration & Cloud Engineer to act as the bridge between field devices and our cloud platform. You will define secure communication protocols, collaborate with backend and frontend teams, and ensure reliable telemetry, alerts, and configuration delivery to the customer dashboard.

Key responsibilities

• Define and implement device‑to‑cloud protocols (MQTT, HTTPS, WebSocket) with TLS, certificates, and token‑based authentication.
• Design and document device provisioning, onboarding, and OTA update workflows.
• Work closely with backend developers on APIs, data structures, message schemas, and device lifecycle management.
• Coordinate with frontend developers to ensure telemetry, alerts, and configurations are correctly displayed on dashboards.
• Build integration test rigs and automated scripts to validate end‑to‑end flows (device → cloud → dashboard).
• Collaborate with hardware engineers on device‑side communication stacks and payload design.
• Monitor production fleets, troubleshoot connectivity and data issues, and drive continuous improvements.
• Contribute to cloud‑side tooling for diagnostics, remote configuration, and fleet health visibility.
• Prepare integration documentation, API specifications, and runbooks for support and field teams.

Required profile

• Bachelor’s or Master’s degree in Computer, Electronics, or Software Engineering.
• 3–6 years of experience 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, and authentication mechanisms (OAuth, JWT).
• Proficiency in at least one backend language (Node.js, Python, or Go).
• Basic understanding of frontend frameworks (React, Vue, or similar) for device‑driven UI collaboration.
• Experience with Git and Agile development workflows.

Required skills

• MQTT, HTTPS, WebSocket, TLS, certificates, token‑based authentication
• Device provisioning, OTA updates
• REST APIs, JSON, OAuth, JWT
• Node.js, Python, Go
• Git, Agile methodologies
• AWS IoT, Azure IoT Hub (preferred)
• InfluxDB, TimescaleDB, Kafka, RabbitMQ (preferred)
• Edge AI devices, streaming video/telemetry pipelines (preferred)
• Embedded/firmware debugging (preferred)