DevOps Software Engineer

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

We are seeking an AI-Augmented Full-Stack & DevOps Engineer to own the end-to-end lifecycle of our cloud platforms, data pipelines, and client-facing interfaces. In this role, you will bridge IoT telemetry ingestion, GIS/spatial mapping dashboards, backend microservices, and continuous cloud deployment.

We place heavy emphasis on AI leverage. We expect our engineers to leverage modern AI coding assistants and autonomous agents (e.g., Cursor, Claude Code, Windsurf, LangGraph, Model Context Protocol) to execute at the speed of a multi-person engineering pod while maintaining strict architectural rigor and production security.

• Architect, develop, and maintain web dashboards and mobile-responsive applications (React / Next.js / TypeScript / Tailwind CSS).
• Build interactive mapping and spatial visualization interfaces (Mapbox, Leaflet, GIS layers, and 3D point cloud/mesh visualization) to display urban tree health and sensor telemetry.
• Design and implement high-performance, resilient RESTful and WebSocket APIs using Python (FastAPI) or Node.js to stream sensor data, work orders, and risk indices.
• Manage time-series, relational, and spatial databases (PostgreSQL/PostGIS, TimescaleDB, Redis).
• Manage cloud environments (AWS / Azure / GCP) using Infrastructure as Code (Terraform / OpenTofu).
• Maintain containerized environments (Docker, Kubernetes) and orchestrate automated CI/CD pipelines (GitHub Actions) with robust security and linting gates.
• Configure and scale telemetry ingestion pipelines supporting LPWAN standards (NB-IoT, LoRaWAN), MQTT brokers, and field datalogger APIs.
• Maintain end-to-end observability, structured logging, and uptime alerts (Grafana, Prometheus, OpenTelemetry).
• AI Agent & Tooling Integration
• Build, deploy, and refine internal AI agents and workflow pipelines (LangGraph, CrewAI, or lightweight agentic frameworks) for automated telemetry anomaly detection, report drafting, and customer ticket dispatching.
• Integrate Model Context Protocol (MCP) servers and LLM function-calling tools to query spatial databases and system logs autonomously.
• Champion internal AI-assisted development practices (context window management, automated test mocking, prompt templates) across the codebase.
• Global Client Collaboration & Overseas Missions
• Interface technically with international enterprise clients and municipal partners across North America (Canada) and Europe.
• Participate in scheduled evening overlap windows (e.g., matching Canadian morning business hours) for technical syncs and architectural reviews.
• Represent LeafIoT internationally at global sustainability/tech summits, trade exhibitions, and onsite client deployment workshops.