Dominio
Embedded & IoT
Perfil de habilidad
Edge computing: AWS Greengrass, Azure IoT Edge, fog computing, local inference
Roles
1
donde aparece esta habilidad
Niveles
5
ruta de crecimiento estructurada
Requisitos obligatorios
3
los otros 2 opcionales
Embedded & IoT
IoT Platforms
17/3/2026
Selecciona tu nivel actual y compara las expectativas.
La tabla muestra cómo crece la profundidad desde Junior hasta Principal.
| Rol | Obligatorio | Descripción |
|---|---|---|
| IoT Engineer | Understands edge computing concept for IoT: processing data on device instead of sending to cloud. Runs simple filters and aggregators on ESP32/Raspberry Pi. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| IoT Engineer | Deploys edge computing on IoT gateways: AWS Greengrass, Azure IoT Edge. Implements local data processing and filtering. Synchronizes edge-cloud state. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| IoT Engineer | Obligatorio | Designs edge computing architecture for IoT: multi-tier (device → gateway → cloud). Implements ML inference on edge (TensorFlow Lite, ONNX). Enables OTA edge model updates. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| IoT Engineer | Obligatorio | Defines edge computing strategy: what to process on edge vs cloud. Establishes deployment and update standards for edge applications across the IoT device fleet. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| IoT Engineer | Obligatorio | Defines enterprise edge computing strategy for IoT. Evaluates KubeEdge, OpenYurt for edge cluster orchestration. Builds edge AI roadmap for industrial IoT. |