DevOps Software Engineer

LeafIoT Technology Limited 樹聯綠碳科技有限公司; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

LeafIoT Technology Limited 樹聯綠碳科技有限公司 is seeking an AI-Augmented Full-Stack & DevOps Engineer to own the end-to-end lifecycle of cloud platforms, data pipelines, and client interfaces. You will bridge IoT telemetry, GIS dashboards, backend services, and automated cloud deployment.

The role emphasizes AI-enabled development using modern agents and tools to move quickly while upholding architecture, security, and reliability across AWS/Azure/GCP, containerized environments, and CI/CD pipelines.

Qualifications

• Experience building web dashboards with React/Next.js/TypeScript.
• Experience with GIS mapping interfaces (Mapbox/Leaflet) and 3D visualization.
• Design/restful and WebSocket APIs using Python (FastAPI) or Node.js.
• Work with time-series, relational, and spatial databases (PostgreSQL/PostGIS, TimescaleDB, Redis).
• DevOps, Cloud Infra & IoT Data Ingestion; IaC with Terraform/OpenTofu.
• Containerization with Docker/Kubernetes; CI/CD with GitHub Actions.

Responsibilities

• Architect, develop, and maintain web dashboards and mobile-responsive apps (React/Next.js/TypeScript/Tailwind).
• Build mapping interfaces (Mapbox/Leaflet) and 3D visualization of urban tree health and telemetry.
• Design and implement high-performance RESTful and WebSocket APIs (Python FastAPI or Node.js).
• Manage databases: PostgreSQL/PostGIS, TimescaleDB, Redis; handle time-series and spatial data.
• DevOps, cloud infra, and IoT data ingestion across AWS/Azure/GCP; IaC with Terraform/OpenTofu.
• Maintain containerized environments (Docker/Kubernetes) and CI/CD pipelines (GitHub Actions).
• Configure telemetry pipelines (NB-IoT/LoRaWAN, MQTT) for ingestion and processing.
• Maintain observability (Grafana, Prometheus, OpenTelemetry).
• Integrate AI agents/tools (LangGraph, MCP) for automation and analytics.
• Collaborate with international clients on deployments and support.

Skills

React

Next.js

TypeScript

Tailwind CSS

Python

FastAPI

Node.js

PostgreSQL

PostGIS

TimescaleDB

Redis

Terraform

OpenTofu

Docker

Kubernetes

GitHub Actions

Grafana

Prometheus

OpenTelemetry

Mapbox

Leaflet

NB-IoT

LoRaWAN

MQTT

AI Agents

Tools

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.

Key Responsibilities1. Full-Stack Application & Spatial Interface Engineering

• 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).
• DevOps, Cloud Infrastructure & IoT Data Ingestion
• 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.