Aerial imagery and geospatial AI for infrastructure and property intelligence
Nearmap captures and processes high-resolution aerial imagery at scale, layering AI and 3D modeling on top to serve infrastructure, insurance, and property teams. The tech stack reveals a hybrid cloud-first architecture (AWS, GCP, Azure) with heavy observability instrumentation (Prometheus, Grafana, OpenTelemetry), and active adoption of ArcGIS and Autodesk suggest deepening integration into enterprise geospatial and design workflows. Engineering-heavy hiring mix and concurrent projects around microservices, MLOps, and API optimization signal a shift from imagery delivery toward real-time, ML-powered insights at scale.
Notable leadership hires: Procurement Director
Nearmap is a geospatial intelligence platform founded in 2009, headquartered in Barangaroo, NSW, Australia. The company operates across 201–500 employees and combines custom aerial camera systems, high-resolution imagery capture, and AI-driven property and risk intelligence to serve customers in infrastructure planning, insurance underwriting, and asset management. Core product surface areas include aerial imagery delivery, 3D modeling, property risk assessment, and SaaS analytics dashboards. The company sells to mid-market and enterprise customers across the United States, Australia, and internationally, with sales and support functions present alongside engineering.
Nearmap uses Salesforce, NetSuite, Apttus, and Conga for business systems; AWS, GCP, and Azure for cloud infrastructure; Kubernetes, Kafka, and Docker for distributed systems; and Python, Go, C#, and JavaScript for application development. Observability is instrumented with Prometheus, Grafana, and OpenTelemetry.
Nearmap is actively hiring in Poland, the United States, and Australia, with presence across engineering, sales, finance, product, and support functions.
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