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PAGE Technologies is a climate-tech startup based in Boulder, Colorado, transforming how we monitor and manage natural ecosystems. Born from award-winning university research, our mission is to make real-time environmental data as accessible and actionable as a weather forecast. We develop ultra-low-cost, plug-and-play sensor systems that track nutrients, pH, and pollutants across soil and water systems, unlocking new insights for agriculture, water management, and climate resilience. Backed by federal grants, deep-tech accelerators, and early commercial traction, PAGE is building a cloud-connected sensing platform to digitize the natural world at scale.
PAGE Technologies is seeking a full-time Cloud AI Engineer to lead the development of our cloud infrastructure, database systems, data science models, and user-facing applications. Based in Boulder, CO (hybrid), this role will drive the end-to-end architecture that powers our real-time environmental monitoring platform.
You will be responsible for designing and maintaining our AWS-based cloud architecture, developing and managing databases, building machine learning models for interpreting sensor data, and leading the development of web dashboards and applications that deliver insights to end users. This is a cross-functional leadership role that bridges backend systems, data intelligence, and frontend design, ideal for someone who wants to build impactful technology at the intersection of AI, IoT, and climate innovation.