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# GIS Tech Lead

- **Company:** Infosys
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Computer-Aided Design, Geographic Information Systems, Amazon Web Services, ArcGIS (Software), Microsoft Azure, Cloud Computing, Extract Transform Load (ETL), DevOps, Spatial Databases, GeoServer, GIS Applications, Global Positioning Systems (GPS), PostgreSQL, Microsoft SQL Server, Oracle (Applications), PostGIS, Quantum GIS (QGIS), Spatial Data Infrastructures, Web Application Frameworks, Scripting, Google Cloud, Information Technology, Restful APIs
- **Published:** May 26, 2026
- **Apply:** https://www.dice.com/job-detail/9a9cfe0e-3634-4750-94b3-e12b8655a17a

## About the Role

* Bachelor's or Master's degree in:

 * GIS
 * Geoinformatics
 * Computer Science
 * Civil Engineering
 * Geography
 * Remote Sensing
 * Related field

Technical Skills

 * Strong experience with:

 * ArcGIS Enterprise
 * ArcGIS Pro
 * QGIS

Knowledge of:

 * Spatial databases: PostgreSQL/PostGIS, Oracle Spatial, SQL Server
 * Web GIS technologies: JavaScript, REST APIs, GeoServer
 * Python scripting and automation
 * Cloud platforms: AWS, Azure, Google Cloud Platform
 * GIS web frameworks and map services
 * Remote sensing and spatial analysis concepts

Familiarity with:

 * GPS and survey data
 * CAD-GIS integration
 * ETL tools such as FME
 * DevOps and CI/CD pipelines, * 7-12+ years of GIS industry experience
 * 3-5+ years in technical leadership or solution architecture roles
 * Experience delivering enterprise-scale GIS projects
 * Utility, telecom, smart city, transportation, oil & gas, or government domain experience preferred

## Description

We are seeking an experienced GIS Tech Lead to design, develop, and manage enterprise GIS solutions. The ideal candidate will lead GIS application development, spatial data management, cloud-based GIS architecture, and technical delivery for geospatial projects. This role involves collaborating with cross-functional teams, mentoring GIS developers/analysts, and ensuring scalable and high-performance GIS systems.


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