Neural Earth brings clarity to risk, helping decision makers act with confidence and enact resilient business critical decisions. Today’s environmental, economic, and infrastructure challenges are deeply interconnected yet the information required to understand these relationships are scattered across siloed and aging systems. As risk evolves, organizations go extinct when reliant on incomplete or outdated information. Neural Earth unifies our planet's data and deploys a single AI powered system, enabling revenue-driving decisions in seconds, not weeks.
The Staff Platform Engineer will be the technical backbone of Neural’s geospatial infrastructure, responsible for designing, building, and scaling the cloud-native platform that powers all of our AI and geospatial products. You will own the developer experience for internal engineering teams, architect CI/CD pipelines, manage container orchestration, and ensure our systems are reliable, observable, and performant at scale. This role bridges the gap between data engineering, DevOps, and software architecture, with a deep emphasis on geospatial workloads.
The ideal candidate has extensive experience building and operating production infrastructure for data-intensive applications, particularly those involving large-scale raster, vector, and time-series geospatial datasets. You will partner closely with AI/ML engineers, data scientists, and product teams to ensure that models and applications can be deployed, monitored, and iterated upon rapidly.
This is a full-time, remote position.
