Automated Test Script Developer

Imagine One is currently seeking an Automated Test Script Developer to provide support to the US Navy. Work is associated with the software development, implementation, and support of a large family of shore-based maintenance IT applications. The successful candidate will contribute to the System Test team by creating Automated Test Scripts/Cases and have development experience. In addition, the candidate will work with the Development, Configuration Management, and Operations team, as well as with the Customers to deliver High Quality automated test scripts on time. Some additional duties are maintaining baselines, regression test beds, test plans, system test reports, creating defects, and tracking re-test and defect closing.

Experience Requirements:

• One (1) or more years of experience developing automated test scripts using Katalon, UI path, or similar tool.

• Experience analyzing manual test scripts and transforming them into automated scripts.

• Experience with eliciting additional requirements from stakeholders.

• Experience using Microsoft Excel, Word, and other MS Office products.

• Experience with Azure DevOps (ADO), HP-ALM, or similar products.

• Effective written and verbal communication skills.

• Experience with Ship Maintenance and Ship Lifecycle Management Systems a plus.

Educational Requirements:

• Bachelor's Degree strongly preferred but not required.

Security Requirements:

• U.S. citizenship required.

• Candidate must have ACTIVE SECRET clearance.

Additional Requirements:

• Please note if you have any experience with the following:

• One (1) or more years experience with Visual Studio .Net, JavaScript Development, Java or any development tools or development expertise

• One (1) or more years of automated testing experience.

• Knowledge of help desk support, trouble ticket resolution.

• Software languages, applications, operating systems, frameworks, integrated data environments and other expertise.

• Software/Systems Engineering using Agile methodologies, with the ability to tailor to a specific system engineering process and software development tools

• Use of SDLC tools. (Azure DevOps, ServiceNow, Microsoft Project, Excel, Visio Power BI).