Perfect Vision تعلن عن وظيفة مهندس إنترنت الأشياء في الدمام

IoT Engineer

Device-to-cloud connectivity, fleet provisioning and platform integration

Company: Perfect Vision - specialized in connected telematics hardware and fleet management platform provider

Location: Dammam

Type Full-time, permanent

About the role

You will be the bridge between our telematics devices in the field and the platform that turns their data into value. As IoT Engineer you will design how thousands of devices connect, authenticate, provision, and stream data reliably and securely - building the connectivity layer, data pipelines, and fleet-management tooling that keep our connected estate healthy at scale.

Key responsibilities

• Design and operate the device-to-cloud connectivity layer using MQTT, and cloud IoT services (AWS IoT Core, Azure IoT Hub, or equivalent).

• Build device provisioning, identity, and lifecycle/fleet-management workflows for large device populations.

• Develop ingestion pipelines and data processing that feed telemetry into our platform and analytics.

• Implement device security: mutual TLS, certificate/key management, and secure onboarding.

• Create edge and cloud logic for command-and-control, remote configuration, and OTA orchestration.

• Monitor connectivity health, build observability/alerting, and drive down device downtime.

• Partner with embedded engineers on data contracts and with backend/platform teams on APIs and storage.

• Optimise cellular data usage, cost, and SIM/connectivity management across the fleet.

Required qualifications

• Degree in Computer Science, Software/Electronic Engineering, or equivalent, with 3+ years of relevant experience.

• Hands-on experience with an IoT cloud platform (AWS IoT, Azure IoT, Google Cloud IoT, or similar).

• Strong grasp of IoT protocols (MQTT, HTTP; CoAP a plus) and networking fundamentals.

• Programming proficiency in Python, Node.js, Go, or Java for backend/edge services.

• Understanding of device security, certificates, and identity management.

• Experience with data pipelines, message queues, or streaming (e.g. Kafka, Kinesis, Pub/Sub).

Nice to have

• Experience managing cellular connectivity, APNs, and SIM fleets.

• Cloud infrastructure-as-code (Terraform) and containerisation (Docker/Kubernetes).

• Familiarity with time-series databases and telemetry visualisation.

• Prior work with telematics, automotive, or asset-tracking data.