·                 Have excellent understanding of technologies including hardware devices, microcontrollers, and communication (physical as well as application layer) protocols used for automation, IoT and Edge (LoRa, NBIoT, Bluetooth and BLE, MQTT/AMQP, Wi-Fi, etc.)

·                 Keen interest and solid understanding in distributed computing with a good understanding of software engineering methodologies.

·                 Excellent programming skills in two or more programming languages like C/C++, C#, Java, Python, JavaScript, Golang, Groovy, Haskell, etc. with a strong understanding of algorithms and data structures.

·                 Good working experience and strong understanding of cloud computing (with at least one public cloud provider) and cloud native development methods like microservices architectures and associated patterns.

·                  Knowledge of modern DevOps methods and tooling.

·                 Knowledge of virtualization and containerization technologies like Docker, Kubernetes etc.

·                 Experience in designing and developing end to end solutions including cloud backend for IoT and Edge applications.

·                 Excellent knowledge and experience with one or more IoT platforms like AWS IoT, Azure IoT, Eclipse IoT, or other specialized IoT platforms.

·                 The candidate should have a good understanding of in-vehicle protocols such as CAN (Standard and J1939), SPI, I2C, USART and automotive protocol UDS.

·                 The candidate should have exposure to streaming services such as Kafka, RabbitMQ or Kinesis. 

·                 The candidate must have in-depth understanding of Databases such as Redis, MongoDB, PostGres, time series databases such as influxDB, timestream.