BOULDER, COPosted 21 days ago

Job summary

• Job post source

  This job is directly from PAGE Technologies

• Job overview

  The Cloud AI Engineer role at PAGE Technologies leads the development of cloud infrastructure, data science models, and user applications to power real-time environmental monitoring.

• Responsibilities and impact

  The engineer will design and maintain AWS cloud architecture, develop databases, build machine learning models for sensor data interpretation, and lead frontend dashboard and application development.

• Experience and skills

  Requires 3+ years in cloud software engineering with AWS, strong machine learning skills, IoT experience, proficiency in Python, SQL, data pipelines, and frontend frameworks; environmental data knowledge is a plus.

• Work environment and culture

  PAGE Technologies is a climate-tech startup focused on sustainability and innovation in environmental monitoring, offering a hybrid work environment in Boulder, CO.

• Company information

  PAGE Technologies is a Boulder-based climate-tech startup developing low-cost sensor systems and cloud platforms for environmental data, backed by federal grants and accelerators.

• Job location and travel

  The position is based in Boulder, Colorado with a hybrid work model.

• Unique job features

  This role uniquely combines AI, IoT, and climate innovation in a cross-functional leadership position bridging backend, data intelligence, and frontend design.

Company overview

PAGE Technologies is a technology solutions provider specializing in IT consulting, software development, and digital transformation services for businesses across various industries. The company generates revenue by offering tailored technology solutions, managed IT services, and enterprise software products that help clients optimize operations and drive innovation. Founded with a focus on bridging the gap between business needs and technological advancements, PAGE Technologies has established a reputation for delivering scalable, secure, and efficient solutions. Notably, the company emphasizes client collaboration, continuous learning, and the adoption of emerging technologies to maintain a competitive edge. Candidates should be aware of PAGE Technologies’ commitment to innovation, customer-centric approach, and its role in supporting digital growth for organizations worldwide.

How to land this job

• Position your resume to showcase your 3+ years of experience with AWS cloud services such as Lambda, S3, IoT Core, SageMaker, and EC2, emphasizing your ability to design and maintain scalable cloud architectures.

• Highlight your machine learning expertise, especially in supervised learning, time series modeling, and sensor fusion, and your hands-on experience with IoT sensor data management to align with PAGE Technologies' environmental monitoring focus.

• Make sure to include technical skills like Python, SQL, data pipeline development tools (AWS Glue, Airflow), and frontend dashboard frameworks (React, Plotly Dash) to demonstrate your full-stack capabilities relevant to the role.

• Apply through multiple online platforms including PAGE Technologies' official corporate careers page and LinkedIn to maximize your application visibility for the Cloud AI Engineer position.

• Connect with current employees or team members in the AI, cloud, or environmental data divisions at PAGE Technologies on LinkedIn. Use ice breakers such as commenting on PAGE’s innovative sensor platform, expressing enthusiasm for their climate-tech mission, or asking about challenges in integrating AI with IoT sensor data.

• Optimize your resume for ATS by incorporating keywords from the job description like 'AWS Lambda,' 'machine learning,' 'sensor fusion,' 'IoT Core,' 'Python,' and 'cloud architecture' to ensure it passes automated screening tools effectively.

• Consider using Jennie Johnson's Power Apply feature to automate tailoring your resume, identify the best job application channels, and find LinkedIn connections to network with, allowing you to focus more on preparing for interviews and deepening your domain knowledge.