Full Stack Developer

SpatialData.AI is looking for talented and motivated individuals to join our team. Spatial Data Analytics Inc. a Canadian company dedicated to delivering innovative, practical solutions to real-world industry challenges. With offices in Toronto, ON and Calgary, AB, our SOLV3D platform provides state-of-the-art manipulation, generation, and visualization of 3D geospatial data, powered by advanced machine learning, automation, computer vision, and analytics.

We are changing the way 3D data is consumed and analyzed — enabling detailed analysis of the real world at an unprecedented scale. We are seeking a Full Stack Developer to join our Engineering team and help build our next-generation 3D geospatial platform, which leverages the latest advancements in machine learning and geospatial data processing to construct precise digital models of customer assets. As a high-growth company, we offer significant opportunities for career advancement.

Responsibilities:

As a Full Stack Developer

, your responsibilities include:

• Driving the development, testing and maintenance of geospatial platforms and automated data processing tools and workflows using scalable cloud computing resources
• Designing, coding, and creating innovative solutions and workflows to solve difficult problems in geomatics
• Developing, deploying, and integrating best-in-class technology on a cloud environment to produce repeatable and reliable results for our customers
• Driving our engineering development cycle including detailed requirements, architecture and design, implementation, code reviews, code standardization, and quality control
• Bringing a detailed understanding of the processing, analysis, and manipulation of 3D data

Basic Qualifications:

• Bachelor's degree or higher in Computer Engineering, Software Engineering, Computer Science, or a related field, with 6+ years of relevant professional experience
• Proficiency in TypeScript and/or JavaScript
• Experience working with SQL databases
• Hands-on experience with modern web frameworks such as React, Next.js, or Angular
• Experience with cloud platforms (AWS, Azure, or GCP)
• Familiarity with containerization technologies (e.g., Docker)
• Experience with CI/CD pipelines and modern DevOps practices

Preferred Qualifications:

• Experience with data science and/or remote sensing data, including LiDAR and optical sensors, as well as geospatial datasets such as raster, vector, and point cloud formats is an asset
• Proficiency in Go and/or Python
• Experience with PostgreSQL and ORM tools such as Prisma
• Familiarity with Kubernetes
• Experience with Bitbucket Pipelines or CircleCI
• Familiarity with monitoring and observability tools such as Prometheus and Grafana

Key Success Factors:

• Be a creative thinker with a positive attitude and determination to solve customer problems
• A solid understanding of LiDAR sensors and geospatial data
• Demonstrated ability to communicate technical concepts and algorithms clearly across diverse audiences
• Able to take initiative and think outside the box
• Demonstrated troubleshooting and problem-solving skills
• Ability to learn new tools and technologies quickly and effectively
• Focus on collaboration among cross functional teams
• Strong attention to detail and consideration for process
• Adaptability and willingness to take on new tasks and challenges

Work Environment:

• Remote-first role with flexibility for candidates based in Calgary, AB or Toronto, ON.
• High-speed internet and familiarity with virtual collaboration platforms (Teams, Zoom, Google Meet) required.
• All candidates must be located in Canada and have a valid work VISA or Permanent Resident, or Canadian Citizenship