Edge Computing Engineer

We are seeking an experienced Edge Computing Engineer to design, develop, and deploy edge computing solutions that bring compute, storage, and analytics closer to data sources. The ideal candidate will have a strong background in distributed systems, IoT, cloud integration, and real-time data processing.

Key Responsibilities:

• Design and implement scalable edge computing architectures to support IoT and real-time applications.
• Develop and deploy software solutions on edge devices, gateways, and cloud platforms.
• Integrate edge solutions with cloud services (AWS IoT Greengrass, Azure IoT Edge, Google Edge TPU).
• Optimize data processing and analytics workflows to minimize latency and bandwidth usage.
• Collaborate with cross-functional teams including data scientists, network engineers, and application developers.
• Monitor, troubleshoot, and maintain edge infrastructure and applications.
• Develop automation scripts and CI/CD pipelines for edge deployment.
• Ensure security best practices in edge device management and data transmission.
• Stay current with emerging edge computing technologies and industry trends.

Required Skills and Qualifications:

• 6 to 11 years of experience in edge computing, IoT, or distributed systems engineering.
• Strong programming skills in languages like Python, C/C++, Java, or Go.
• Experience with containerization (Docker) and orchestration (Kubernetes, K3s) in edge environments.
• Familiarity with cloud platforms and edge services (AWS, Azure, Google Cloud).
• Knowledge of networking protocols, data communication, and security for IoT devices.
• Experience with real-time data processing frameworks and message brokers (MQTT, Kafka).
• Understanding of hardware platforms and embedded systems is a plus.
• Strong problem-solving skills and ability to work in a collaborative environment.

Preferred Skills (Nice to Have):

• Experience with AI/ML at the edge (TensorFlow Lite, OpenVINO).
• Knowledge of 5G networking and MEC (Multi-access Edge Computing).
• Familiarity with edge device management platforms.
• Experience in telecom, manufacturing, or smart city projects.