Senior Software Engineer building scalable AWS, Big Data, and ML infrastructure for Genesys’ AI - powered customer - experience platform. Leading distributed systems projects from architecture through production.
About the role
- Senior Software Engineer & Designer developing software architecture for forestry LiDAR data at Forsite. Collaborating with specialists and mentoring team members on best practices.
Responsibilities
- Design and develop software architecture and processing pipeline components for forestry LiDAR data, including systems built in Python, Rust, and JavaScript
- Lead the design of scalable, maintainable data processing workflows for large-volume point cloud and natural resource datasets
- Perform data analysis and develop statistical models for R&D projects related to LiDAR point cloud processing and other natural resource datasets
- Evaluate emerging methodologies and advance the current state of the science in LiDAR-based natural resource assessments
- Contribute to the preparation, authorship, and peer review of scientific and technical publications in remote sensing and related disciplines
- Conduct code reviews and maintain code quality standards across the analytics and GTC teams
- Work collaboratively with forestry specialists, data scientists, and project managers to integrate software solutions into operational workflows
- Provide technical guidance and mentorship to team members on software development best practices and analytical methods
Requirements
- Master's degree or PhD in Computer Science, Geomatics, Remote Sensing, Applied Mathematics, Forestry, or a closely related discipline
- Demonstrated experience in software development and system design, with advanced proficiency in Python and at least one compiled language (Rust, C++, or equivalent)
- Demonstrated experience in statistical modelling and quantitative data analysis applied to large, complex spatial or point cloud datasets
- Experience with LiDAR data processing, remote sensing analysis, or natural resource data pipelines
- Track record of authorship or substantive contribution to peer-reviewed or professional technical publications
- Experience conducting code reviews in a collaborative development environment
- Proficiency with version control systems (Git)
- Nice to have: Experience with forestry inventory methods, airborne LiDAR acquisition, or related natural resource remote sensing applications
- Familiarity with point cloud libraries and geospatial data formats (e.g., LAS/LAZ, GeoTIFF, Shapefile)
- Experience with high-performance or distributed computing environments
- Experience in an applied research or industry-academia collaborative setting
Benefits
- Competitive wages
- Work-life flexibility
- Comprehensive benefits package
- Professional development support
- Company matched pension program
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