About the Role
Development and maintenance of geospatial web application.
Job Description
Maintain and enhance the application which includes upgrading of the libraries, application and servers components, performance profiling and tuning of the server-side codebase, GIS map services and SQL statements. Generate unit tests and end-to-end test scripts to ensure nothing breaks upon publishing new features and maintain current automated scripts in Jenkins. Generate splunk reports and performance analysis on the usages of the map services.
Troubleshoot, identify, solve issues and develop test cases to prevent similar issues.
Monitor the results of automated correctness and performance test to ensure a stable and working application. Design and develop the application according to the specifications provided. Perform design, programming, integration, system testing, assist users in User Acceptance Test (UAT). Perform iterative prototyping to introduce and enhance new features to the core system.
Skillset a) At least 3 years of good working knowledge in the following areas: .
Web Application
Client-side Technologies (Java Script ES5/6, React JS, Redux, j Query, HTML5/CSS, AJAX/JSON, NPM) .
Web Application
Server-side Technologies (Asp. NET Core, Aps. NEt, MVC, C#) . Web GIS Technologies (Arc GIS Java Script API v4.5, Arc GIS Server REST API, Geo Server, Post GIS). Database technologies (e.g. Postgresql, MS SQL, Oracle) and . Code version control system (Git). b) Good communication skills and the ability to: . Understand and communicate in English, in speech and writing. . Work with other members in a dynamic and fast-moving team. . Work independently with minimum supervision. . Work on own initiative and adhere to deadlines.
Added advantage with the following: . Development using Microsoft Azure Cloud and/or AWS Cloud. . Open-source technologies such as Node JS, Leaflet, Geo Server, Postgres SQL, Post GIS. . Knowledge of geospatial and mapping concepts such as spatial analysis and map projections with ESRI technologies. . Experience with geoprocessing using Python scripts and ETL tools such as FME. . Experience in agile development and Dev Ops processes.