About Class 3 Technologies, Inc.

We’re building the foundation of climate resilience.

Class 3 Technologies was born to protect organizations from natural hazards and climate change. Our mission is to bring clarity where there’s confusion — giving enterprises, institutions, and investors the intelligence to turn climate risk into resilience.

Each year, natural disasters cause tens of billions of dollars in losses across the United States alone. As storms, wildfires, floods, heatwaves, and earthquakes intensify, the human and economic toll continues to rise. Codes can safeguard lives, but not the systems that sustain them. True resilience keeps communities standing — and functioning — after disaster strikes.

Our platform, Iris, is the next generation of climate risk software. Where traditional tools only create abstract scores, Iris predicts probabilistic outcomes that translate complex hazard data into consequences people can actually understand — downtime, repair costs, financial losses, and health and safety impacts. 

Developed by engineers who’ve designed buildings to withstand these forces, Iris combines high-resolution hazard data with proprietary damage models to simulate how assets perform under stress — and how to make them more resilient to meet the needs of their owners, operators, and communities.

We’re not just visualizing risk — we’re redefining how organizations plan, invest, and build for a resilient future.

About The Role

We are seeking a Junior Geospatial Software Engineer to join our dynamic Product team. This is a full-time, salaried entry-level position that requires a motivated engineer with a Master's Degree in Geospatial Science or professional experience within the field, and a keen interest in operationalising geospatial technologies through software development. You will play a critical role in creating and improving backend services, working closely with team members to enhance our geospatial product offerings using the latest advancements in geospatial algorithms, machine learning, and software development. Fluency in English and expertise in Python are essential for this role.

What You'll Do

• Work within our engineering team to develop and maintain backend services that use geospatial technologies.
• Implement, test, and optimize geospatial algorithms to process and analyze spatial data for climate hazards.
• Build integrations with various climate hazard data providers to procure best in class datasets.
• Use AI and machine learning to analyze geospatial datasets in order to extract exposure data of buildings and infrastructure assets.
• Collaborate with cross-functional teams across Europe and the United States to build algorithms that calculate climate risk and risk mitigation strategies.
• Write clean, efficient, and scalable code, primarily in Python, to support product functionality.
• Contribute to the design and development of efficient, reliable, and robust APIs for geospatial data processing.
• Diagnose and resolve software bugs and performance bottlenecks in backend systems.
• Stay informed on the latest trends and technologies in geospatial development and machine learning.

Qualifications

• A Master's degree in Geospatial Science, Computer Science, Software Engineering, or a related engineering field (or equivalent experience).
• Alternatively a minimum of 2 years of professional experience in software development, with a focus on geospatial technologies and backend systems.
• Proficiency in Python, with the ability to write clean, efficient, and maintainable code.
• Strong knowledge of geospatial algorithms and their application in software development.
• Hands-on experience with machine learning techniques and their integration into backend services is a plus.
• Work or research experience in the architectural, engineering, construction (AEC) industry is a big plus.
• Familiarity with distributed systems, APIs, and scalable backend architectures.
• Strong problem-solving skills with the ability to analyze and process complex geospatial data.
• Excellent communication skills in English, both written and verbal.