DevOps Software Engineer

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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 orches

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