PAGE Technologies

Cloud AI Engineer

Cloud AI Engineer
Notice info
LocationBoulder, CO
Job Typefull time
On-site
Climate Technology Product Manufacturing

About This Job


Company Description

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.


Role Description

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.


Qualifications

3+ years of experience in cloud-based software engineering, preferably using AWS services (e.g., Lambda, S3, IoT Core, SageMaker, EC2)
Strong background in machine learning (supervised learning, time series modeling, sensor fusion techniques)
Experience with IoT systems, particularly in collecting and managing real-world data from sensor networks
Familiarity with environmental data types (e.g., pH, nutrients, conductivity, temperature, moisture, etc.) is a plus
Skilled in Python, SQL, and data pipeline development (e.g., AWS Glue, Airflow, or similar)
Experience with frontend dashboard frameworks (e.g., React, Plotly Dash, or similar)
Strong understanding of cloud architecture best practices, DevOps, and scalable ML deployment
Passion for sustainability, environmental monitoring, or AgTech is a bonus

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