Itcan Pte. Limited · MyCareersFuture · 2d
ArcGIS Developer
Singapore, Central- Posted
- 2026-10-06 (2d)
- Place
- Singapore, Central
- Commitment
- Full Time
- Salary
- SGD 5,000 – 8,000 / month
- Experience
- 5+ YOE
- Department
- Information Technology
- Source
- MyCareersFuture (the employer’s own listing)
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Skills in this posting
ArcGIS ServerArcGISPythonJavaScriptMicroservicesMachine LearningGenerative AIData AnalyticsAsset ManagementMicrosoft AzureSoftware DevelopmentGitHub Copilot
Full-stack GIS development, geospatial data management, system integration, and the application of Generative AI and GeoAI techniques to modernize GIS platforms and improve business outcomes.
Experience: 5-10 years in GIS
GIS Application Development
Develop and maintain GIS applications using:
• ArcGIS API for JavaScript
• Develop APIs and microservices supporting GIS workflows.
• ArcGIS Experience Builder
• ArcGIS Web AppBuilder
• ArcGIS SDKs
• ArcGIS Runtime
• Develop custom GIS tools, widgets, and workflows.
• Build responsive web and mobile GIS solutions.
• Integrate GIS applications with enterprise systems
• ArcGIS Enterprise Administration
o ArcGIS Enterprise
o ArcGIS Server
o ArcGIS Portal
o ArcGIS Data Store
o ArcGIS Workflow Manager
• Implement security hardening, identity management, and role-based access controls in ArcGIS
• Monitor, tune, and optimize GIS platform performance.
• Geospatial Data Analytics
• Design enterprise geodatabases and spatial data models.
• Develop GIS automation solutions using:
o FME
o Python
o ArcPy
o GeoPandas
• Integrate GIS platforms with Generative AI solutions such as Azure OpenAI and Copilot-based assistants.
• Automation & DevSecOps
Domain Knowledge on:
• Utility Network
• Trace Network
• Linear Referencing Systems
• Asset Management GIS models
AI & GeoAI Development:
• Build AI-driven GIS solutions
• ArcGIS GeoAI
• Machine Learning
Further to be evaluated on:
• Successful delivery of enterprise GIS modernization initiatives.
• Improved GIS platform scalability, security, and performance.
• Increased automation through AI and GeoAI capabilities.
• Reduction in manual geospatial processing effort.
• Public Sector SG domain knowledge
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