
Senior Geospatial Software Engineer
1 day ago
We are seeking a highly skilled and innovative Geospatial Developer to join our team.
This role involves designing, developing, and maintaining geospatial web applications using Python and GIS technologies.
You will work collaboratively with cross-functional teams to integrate spatial data with front-end and back-end systems, ensuring seamless functionality and optimal performance.
Responsibilities- Develop and maintain GIS-based web applications using Python and frameworks like Django or Flask.
- Design and implement interactive, dynamic GIS maps using libraries such as GeoPandas, Shapely, and Folium.
- Integrate geospatial data with databases (e.g., PostgreSQL/PostGIS, MySQL, or MongoDB) and RESTful APIs.
- Automate geospatial data processing workflows using Python libraries like ArcPy, Fiona, or PyQGIS.
- Build responsive front-end interfaces using HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js.
- Collaborate with data scientists and GIS analysts to productionize geospatial models and visualizations.
- Optimize applications for performance, scalability, and reliability.
- Troubleshoot and debug issues across the full stack, from front-end interfaces to back-end data pipelines.
- Manage deployment and continuous integration processes using tools like Docker, Kubernetes, or CI/CD pipelines.
- Stay updated with the latest GIS and web development technologies and best practices.
- Bachelor's degree in Computer Science, Geographic Information Systems, or a related field (or equivalent experience).
- Proven experience as a Full Stack Developer with strong proficiency in Python.
- Expertise in GIS technologies and Python libraries such as GeoPandas, Shapely, Fiona, ArcPy, or PyQGIS.
- Experience with front-end technologies including HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js.
- Familiarity with database technologies, particularly PostgreSQL with PostGIS for geospatial data.
- Knowledge of RESTful APIs, web services, and data integration from various sources.
- Proficiency with version control systems, particularly Git.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Experience with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure for deploying GIS applications.
- Familiarity with ESRI ArcGIS Suite (ArcPro, ArcMap) or QGIS for geospatial analysis.
- Knowledge of MLOps practices for integrating machine learning models with GIS applications.
- Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
- Understanding of geospatial data formats (e.g., GeoJSON, Shapefiles, KML) and spatial analysis techniques.
- Competitive salary and comprehensive health benefits.
- Opportunities for professional growth and development.
- Collaborative and innovative work environment.
- Flexible remote or hybrid work options.
To Apply, submit your resume and a cover letter detailing your experience with Python, GIS, and full stack development.
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