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A leading company in Singapore is seeking a Senior GIS Software Developer to enhance its rainfall intelligence and geospatial analytics platforms. The role involves designing advanced GIS tools, collaborating with cross-functional teams, and providing technical leadership in a dynamic environment focused on climate resilience across Southeast Asia.
Pluvia is seeking a Senior GIS Software Developer to accelerate the delivery of our next-generation rainfall intelligence and geospatial analytics platforms. In this pivotal role, you will design, build, and maintain advanced GIS tools and data pipelines that empower climate-resilient decisions for critical industries across Southeast Asia. You will collaborate closely with data scientists, engineers, and product managers to deliver innovative, AI-driven geospatial solutions.
Design, develop, and optimize tools and plugins for ArcGIS and QGIS, enabling interactive data input, editing, visualization, and advanced analytics.
Implement robust raster and vector processing pipelines for large-scale, real-time geospatial datasets.
Build and maintain desktop applications for geo-spatiotemporal data visualization and analysis.
Develop and manage high-performance geospatial databases (PostgreSQL/PostGIS) to support real-time, high-volume data ingestion and querying.
Integrate GIS solutions with Pluvia’s proprietary rainfall and flood intelligence APIs, machine learning models, and data pipelines.
Collaborate with scientific computing experts, water scientists, and software engineers to deliver solutions aligned with client and business requirements.
Provide technical leadership, conduct code reviews, and mentor junior developers.
Stay at the forefront of GIS, Python, and geospatial technology trends; proactively recommend and adopt relevant innovations.
5+ years of hands-on experience with ArcGIS and QGIS, including plugin and tool development.
5+ years in geospatial data analytics and advanced geoprocessing.
3+ years’ strong proficiency in Python, including GIS-specific libraries (PyQGIS, ArcPy, GDAL/OGR, etc.).
Demonstrated experience with WMS, WFS, WCS, or similar GIS technologies.
Track record in building and deploying GIS desktop applications.
Excellent written and oral communication skills; proven ability to work in cross-functional teams.
Experience with geospatial database management (PostgreSQL/PostGIS).
Experience in Agile/SCRUM environments.
Experience with Python development environments (Anaconda, Jupyter Notebook, VS Code).
Prior work in the water sector, climate, or hydrology domains.
Background in Geodetics, Applied GIS, Geoinformatics, or related fields.
Familiarity with numerical hydrological/hydraulic models and/or machine learning algorithms in geospatial data processing.
Understanding of software engineering practices (CI/CD, version control, testing).
Experience integrating GIS with cloud-based solutions or SaaS platforms.
Adaptability and comfort working in a fast-paced, scale-up environment.
Opportunity to shape the future of weather and climate intelligence in Southeast Asia.
Exposure to cutting-edge AI, machine learning, and geospatial technologies.
Work in a vibrant, mission-driven, and inclusive team of international experts.
Flexible working arrangements and a culture of continuous learning and growth.
Competitive compensation, medical and term life insurance, and professional development opportunities.
Real impact on climate resilience and business continuity for leading organizations.
Submit your CV and a brief cover letter outlining your relevant GIS experience and motivation to join Pluvia.
Include links to your GitHub or portfolio, if available.
Shortlisted candidates will be invited for an interview and technical discussion.
Contact: Catherine Ham | Email: catherine@pluvia.ai.
Pluvia, rooted in Singapore’s Hydroinformatics Institute (H2i), delivers hyperlocal rainfall intelligence powered by AI and machine learning. We serve critical sectors-transportation, logistics, construction, and asset management-across Southeast Asia, enabling smarter, weather-resilient decisions. Our passionate team is shaping the future of climate-aware decision-making through robust, actionable weather insights.