Software Engineer

Flowity is an innovative technology company providing infrastructure partners with actionable "insights in motion." We specialize in turning video footage into structured, GIS-ready data to optimize road maintenance, traffic analysis, and safety monitoring. By leveraging AI and computer vision, we enable clients across the infrastructure, transportation, and public administration sectors to transition to predictive maintenance and data-driven planning.

We are currently expanding our team and looking for talented and passionate software developers to join our dynamic team. As a software developer, you will play a crucial role in crafting and implementing software solutions that bridge AI detections with spatial intelligence across our platform.

Your responsibilities

Designing, coding, and testing software applications and cloud-based spatial services

Developing and maintaining GIS data pipelines to structure, map, and classify road defects and environmental data

Collaborating with computer vision engineers, domain experts, and stakeholders to understand project requirements and asset management workflows

Contributing to architectural design, system integration, and geospatial data workflows (e.g., PMS integrations)

Ensuring software meets quality standards, performance metrics, and handles large-scale spatial datasets efficiently

Continuously researching and implementing best practices in software development, cloud infrastructure, and GIS mapping

Qualifications

Degree in Computer Engineering, Geoinformatics, Spatial Engineering, or similar

Proven experience in software development and spatial data processing

Solid understanding of Geographic Information Systems (GIS) and experience working with spatial databases and geospatial data formats (GeoJSON, Vector tiles, etc.)

Strong problem-solving skills and ability to work in a team environment

Good communication and collaboration abilities

A passion for learning and adapting to new technologies and methodologies

The most common technical tools and programming languages we use on our projects in this field are:

Programming languages: Python (highly utilized for AI & spatial data), C++, JavaScript/TypeScript

Geospatial & Database: PostGIS, PostgreSQL, GDAL, Shapely, GeoPandas, QGIS

Scripting & Cloud: Bash, AWS/GCP, Docker

DevOps tooling: Git, CI/CD pipelines (e.g., Jenkins/GitHub Actions)

Documentation: Confluence