Principal Geospatial Software Engineer (Remote)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Geospatial Software Engineer in the United States.

In this senior leadership role, you will architect, design, and oversee the development of advanced geospatial software solutions supporting large-scale water resources modeling and predictive analytics. You will lead enterprise hydrofabric development, integrating high-resolution topographic, hydrographic, and bathymetric datasets into cloud-based, scalable platforms. Your work will directly influence operational-quality geospatial services, supporting flood mapping and environmental forecasting. The role combines hands-on technical expertise with strategic oversight, including mentoring teams, establishing best practices, and ensuring seamless integration across geospatial data systems. You will collaborate with cross-functional teams to implement automated data pipelines, leverage containerized cloud services, and continuously improve software reliability and performance. This position offers a high-impact environment focused on innovation, technical excellence, and mission-critical outcomes.

Accountabilities:

• Lead and coordinate enterprise hydrofabric development activities, providing technical direction for geospatial projects.
• Architect, design, and develop scalable geospatial services using Python and formats such as STAC, Zarr, and GeoTIFFs.
• Design, deploy, and maintain geospatial data services on cloud platforms (AWS, GCP, Azure) with containerized applications.
• Participate in all phases of software development, including requirements analysis, system design, coding, unit testing, and documentation.
• Collaborate with stakeholders to integrate hydrofabric and other geospatial datasets into operational systems.
• Conduct research on emerging technologies to inform software development strategies and optimize application execution.
• Mentor and guide development teams to enforce best practices, coding standards, and automated testing frameworks.

• Bachelor’s degree in Geography, Cartography, GIS, Computer Science, or a related field, with at least 8 years of professional experience.
• Experience integrating high-resolution hydrographic, topographic, bathymetric, and channel shape data into geospatial systems.
• Proficiency with geospatial datasets, raster and vector formats, coordinate reference systems (CRS), and formats such as GeoTIFF, NetCDF, and COGs.
• Experience designing and maintaining cloud-optimized data dissemination platforms supporting operational-scale geospatial services.
• Strong proficiency with geospatial libraries and tools, including GDAL/OGR, GeoPandas, Xarray, and Zarr.
• Experience with large system planning, software integration, and adherence to release schedules and strategies.
• Preferred: expertise in hydrofabric modeling, hydraulic modeling, remote sensing, CNN/RNN/LSTM deep learning for spatial data, containerization (Kubernetes, Docker, Singularity), and programming in Python and R.
• Strong analytical, problem-solving, and leadership skills, with ability to manage complex, multi-disciplinary projects.

• Competitive salary range: $101,000–$203,000, adjusted based on experience and qualifications.
• Comprehensive medical, dental, and vision coverage.
• Retirement savings plans with company matching (401k).
• Flexible work schedules with remote-first opportunities.
• Paid time off, holidays, parental leave, and employee assistance programs.
• Professional development programs, including learning initiatives and certifications.
• Opportunities to lead high-impact projects with significant societal and environmental relevance.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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