AI-Driven Full-Stack & DevOps Engineer: Cloud + GIS

Leafiot Technology; Hong Kong; On-site; HKD 300,000 - 420,000; Full time

Job summary

LeafIoT Hong Kong seeks an AI-augmented Full-Stack & DevOps Engineer to own the end-to-end lifecycle of our cloud platforms, data pipelines and client interfaces. You will bridge IoT telemetry ingestion, GIS dashboards, backend microservices, and automated cloud deployment with strict security and performance goals.

The role emphasizes AI-enabled development, using modern coding assistants and autonomous agents to move fast while upholding architecture.

Qualifications

• Experience architecting full-stack applications with responsive UIs.
• Strong knowledge of cloud deployment and IaC tooling.
• Experience with AI-assisted development workflows and pipelines.

Responsibilities

• Architect, develop, and maintain web dashboards and mobile-responsive apps using React/Next.js and TypeScript.
• Build interactive mapping interfaces with Mapbox/Leaflet and GIS layers.
• Design scalable RESTful and WebSocket APIs in Python or Node.js.
• Manage databases (PostgreSQL/PostGIS, TimescaleDB, Redis).
• Manage cloud environments (AWS/Azure/GCP) with Infrastructure as Code.
• Maintain Docker/Kubernetes environments and CI/CD via GitHub Actions.
• Configure telemetry ingestion pipelines (NB-IoT, LoRaWAN, MQTT).
• Ensure observability with Grafana/Prometheus/OpenTelemetry.
• Integrate AI agents/tools for telemetry anomaly detection and automation.
• Collaborate with international clients and partners; travel as needed.

Skills

AI leverage

Full-stack development

DevOps

React / Next.js

TypeScript

Cloud platforms

Education

Bachelor’s degree in a relevant field

Tools

Mapbox

Leaflet

PostgreSQL

TimescaleDB

Redis

Docker

Kubernetes

Terraform/OpenTofu

GitHub Actions

Job description

LeafIoT Hong Kong seeks an AI-augmented Full-Stack & DevOps Engineer to own the end-to-end lifecycle of our cloud platforms, data pipelines and client interfaces. You will bridge IoT telemetry ingestion, GIS dashboards, backend microservices, and automated cloud deployment with strict security and performance goals.

The role emphasizes AI-enabled development, using modern coding assistants and autonomous agents to move fast while upholding architecture.