Senior Full Stack Developer – GIS & AI

We're Hiring | Senior Full Stack Developer – GIS & AI

Join a large-scale, long-term national technology project combining advanced GIS technologies, modern cloud architecture, and AI-driven development.
We are looking for an experienced Senior Full Stack Developer with strong expertise in enterprise Web applications, GIS integration, and modern software development practices.
This is an opportunity to work on complex, mission-critical systems, leveraging ESRI ArcGIS, .NET, modern frontend technologies, and cloud infrastructure, while taking part in architectural decisions and developing innovative geospatial solutions.

Key Responsibilities
Design, develop, and maintain complex enterprise Full Stack applications.
Develop scalable backend services using C#, ASP.NET Core, and .NET 8.
Build modern frontend applications using React or Angular.
Design and integrate REST APIs and Microservices.
Develop and integrate GIS-based solutions using ESRI ArcGIS technologies.
Work with SQL Server and PostgreSQL databases.
Leverage AI-powered development tools to improve productivity, code quality, and development processes.
Collaborate with multidisciplinary teams on complex, large-scale systems.
דרישות התפקיד:
Must-Have Requirements
5+ years of hands-on software development experience, including significant experience with enterprise Web applications.
Strong Full Stack development experience with C#, ASP.NET Core, and .NET 8.
Hands-on frontend development experience with React or Angular.
Proven experience designing and developing REST APIs and Microservices.
Experience working with SQL Server and PostgreSQL.
Hands-on experience developing and integrating GIS solutions using ArcGIS Enterprise, ArcGIS Maps SDK for JavaScript, or equivalent Web GIS technologies.
Practical experience using AI coding tools such as GitHub Copilot, Cursor, or Claude Code.

Significant Advantages
Experience leading or mentoring a team of 4–5 developers, including task allocation, code reviews, and technical guidance.
Experience with spatial data processing and analysis using Python and ArcPy.
Familiarity with Docker, Kubernetes, and cloud infrastructure.
Experience developing data processing, automation, and ETL pipelines using Python.