Iot Engineer

IoT / Edge Computing Engineer

Location: UAE – Dubai / Abu Dhabi
Experience: 4–8 Years
Employment Type: Full-Time / Contract
Work Mode: Onsite / Hybrid

Job Summary

We are looking for an experienced IoT / Edge Computing Engineer to design, develop, deploy, and support scalable IoT and edge-computing solutions. The ideal candidate will have strong experience in IoT platforms, edge devices, cloud integration, real-time data processing, and distributed systems.

The role will involve building secure and reliable solutions that enable real-time data collection, processing, analytics, and AI capabilities closer to connected devices and operational environments.

Key Responsibilities

• Design and develop end-to-end IoT and Edge Computing solutions across devices, gateways, edge platforms, and cloud environments.
• Develop solutions for collecting, processing, transmitting, and analyzing real-time data from IoT devices and sensors.
• Configure and manage IoT devices, gateways, device provisioning, monitoring, and OTA updates.
• Develop and integrate IoT applications using Python, C++, Java, or similar programming languages.
• Implement IoT communication protocols such as MQTT, CoAP, HTTP/REST, and OPC-UA.
• Build edge-processing solutions to reduce latency, bandwidth consumption, and dependency on centralized cloud processing.
• Integrate IoT solutions with AWS, Azure, or Google Cloud platforms.
• Work with technologies such as AWS IoT Greengrass, Azure IoT Edge, Azure IoT Hub, and AWS IoT Core.
• Develop real-time data pipelines using technologies such as Kafka, MQTT brokers, or equivalent streaming platforms.
• Deploy containerized workloads at the edge using Docker and Kubernetes/K3s.
• Collaborate with data science and AI teams to deploy Edge AI / ML models for real-time inference.
• Implement monitoring, logging, troubleshooting, and performance optimization for distributed edge environments.
• Ensure IoT infrastructure follows security best practices including device identity, certificates, encryption, secure communication, and access control.
• Participate in architecture discussions, proof-of-concepts, technical design, deployment, and production support.

Required Skills & Experience

• 4–8 years of experience in IoT, Edge Computing, Embedded Systems, Cloud, or Distributed Systems.
• Strong programming experience in Python, C++, Java, or similar languages.
• Hands-on experience with IoT platforms and device management.
• Strong understanding of MQTT, REST APIs, HTTP, CoAP, OPC-UA, or similar protocols.
• Experience working with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes/K3s or other container orchestration technologies.
• Understanding of real-time data processing and event-driven architectures.
• Experience with databases and data-storage technologies, preferably including time-series databases.
• Good understanding of Linux operating systems and networking concepts.
• Experience with Git, CI/CD, and automation.
• Strong troubleshooting and problem-solving capabilities.

Good to Have

• Experience with Edge AI / Machine Learning inference.
• Hands-on experience with NVIDIA Jetson, CUDA, TensorRT, or similar edge-AI platforms.
• Experience with AWS IoT Greengrass / Azure IoT Edge.
• Knowledge of Digital Twin technologies.
• Experience with Kafka, Spark Streaming, Flink, or similar technologies.
• Experience with Industrial IoT (IIoT) and protocols such as OPC-UA, Modbus, or CAN.
• Experience with 5G, connected devices, smart cities, or connected vehicles.
• Knowledge of IoT security, PKI, Zero Trust, IAM, secure boot, and device authentication.
• Experience with infrastructure-as-code tools such as Terraform.
• Exposure to Azure Digital Twins, AWS IoT TwinMaker, or equivalent platforms.

Preferred Industry Experience

Candidates with experience in any of the following domains will be preferred:

• Smart Cities & Smart Infrastructure
• Manufacturing / Industrial IoT
• Oil & Gas / Energy
• Telecommunications / 5G
• Automotive / Connected Vehicles
• Logistics & Supply Chain
• Healthcare / Medical Devices
• Utilities
• Data Centers

Preferred Certifications

• AWS Certified IoT / Cloud certifications
• Microsoft Azure IoT / Azure Solutions Architect certifications
• Kubernetes certifications such as CKA/CKAD
• NVIDIA AI/Edge certifications
• Cisco IoT / Networking certifications

Key Competencies

• IoT Architecture
• Edge Computing
• Cloud Integration
• Real-Time Data Processing
• Edge AI / ML
• Device Management
• IoT Security
• Distributed Systems
• Containerization & Kubernetes
• Cloud & Infrastructure
• Problem Solving

Desired Candidate Profile

Ideal Candidate Profile The ideal candidate should have a combination of: IoT + Edge Computing + Cloud + Python/C++ + MQTT + Kubernetes + Real-Time Data + IoT Security Candidates with additional experience in Edge AI, NVIDIA Jetson, Digital Twins, Industrial IoT, 5G, or connected devices will be considered highly desirable.