Requirements:
Must Have:
5+ years of experience developing client-side web applications.
Strong proficiency in JavaScript (ES6+) and TypeScript.
Proven experience with at least one major GIS mapping library:
ArcGIS API for JavaScript, Mapbox GL JS, OpenLayers, or Leaflet.
Hands-on experience with front-end frameworks:
React (preferred), or Angular / Vue.js.
Excellent knowledge of spatial data formats:
GeoJSON, KML, Shapefiles, TopoJSON.
Experience consuming geospatial web services:
REST APIs, WMS, WMTS, WFS.
Good understanding of coordinate systems and spatial projections (e.g., EPSG codes, reprojection).
Experience building responsive, cross-browser compatible GIS web applications.
Version control proficiency:
Git (GitHub/GitLab workflow).
Experience working in On-Premises environments:
Ability to develop, troubleshoot, and deploy web applications in isolated, offline networks (no Internet access).


Nice to Have (Advantages):
Experience with 3D GIS technologies:
CesiumJS, Deck.gl, Kepler.gl.
Familiarity with WebGL rendering for complex spatial data visualization.
Understanding of spatial indexing and geospatial search engines:
e.g., ElasticSearch Geo capabilities.
Experience integrating with cloud-based GIS services:
AWS Location Service, Azure Maps, ArcGIS Online.
Familiarity with backend GIS servers:
GeoServer, MapServer.
Performance optimization techniques:
Rendering of large datasets, clustering, lazy loading.
Knowledge of application deployment in secure environments:
e.g., usage of internal repositories, offline build processes, and containerization (Docker/Kubernetes advantage).
Experience with mobile-friendly GIS applications (Progressive Web Apps PWA concepts).

Requirements:
Minimum of 5 years of proven experience in end-to-end web application development.
Strong proficiency in frontend technologies such as React (mainly), Vue.js, or Angular.
Solid knowledge of HTML, CSS, and JavaScript.
Competence in writing unit tests using major frameworks.
Experience working with relational and NoSQL databases.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities in English.
Ability to work independently as well as collaboratively within a team.
Proven track record of delivering high-quality software solutions.
Preferred Qualifications:
Experience with cloud platforms such as Google Cloudת AWS, Azure.
Experience with LLMs, ML models and AI tooling.
Knowledge of containerization technologies such as Docker.
Familiarity with microservices architecture.
Understanding of agile software development methodologies.