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Iris Software

Quality Assurance Automation Lead

Iris Software, Parsippany, New Jersey, us, 07054


Iriss client, a leader in the construction industry worldwide, has an opening for an

Automation QA lead

for a long-term contract opportunity.Title: Automation QA lead with Sitecore experienceDuration: 18 MonthsLocation: 100% RemoteSkills: Automation, Sitecore, Selenium, exp in creating automation framework from scratch.Job DetailsSitecore QA Lead is responsible for designing and developing strategies required for any sitecore application testing. The QA Lead brings continuous improvements, and advocates shift-left culture within the QA department.Works closely with the project team to create clear and complete quality deliverables, including test plans, test strategy, test cases, procedures, and test reports.Creates, monitors, and executes manual and automated tests by decomposing business requirements.Perform database testing using complex SQL queriesEducationFour-year college degree in Software Engineering, Computer Science, or related technical disciplines such as Science or Engineering.Experience and SkillsEight years of experience, preferably in either a SR QA Engineer, Lead, Software Development Engineer or (SDET) Software Development Engineer in a Test roleStrong experience in CMS such as SitecoreExperience with Test processes, open-source test frameworks, test design strategies, writing test cases, and automating tests in Java with frameworks like JUnit/TestNG, Selenium, JMeter, and Appium is preferred.Experience leading ambiguous situations, dealing with technical issues, and coming up with practical solutions to ensure customer project deliverablesExperience with Azure or other continuous integration systemsExperience with tools & applications such as JIRA, Confluence, and GitMust have previous experience with requirements, defect, functional, and performance management systemsExcellent coding skills in one of the high-level programming languages (Java, C++, C#, Perl)Expert in software quality and testing methodologies