Quality Assurance (QA) Engineer IV

SEI INVESTMENTS COMPANY • Oaks, PA • 8h ago

Job Duties: The Quality Assurance (QA) Engineer IV is responsible for: upgrading existing Test complete automation code to Pytest with Selenium; driving and coordinating the Integration QA team's workload for proprietary and 3rd party IMS applications; working across teams, and business units, to coordinate and execute test plans; developing and managing test strategies that will include test data population, regression testing, and integration testing using both manual and automation test beds to ensure a higher quality deliverable; promoting quality assurance standards and best practices across SEI's Agile teams; ensuring regression tests are run in a traceable manner and that the team follows the SDLC policy; working in a fast-paced environment that supports production and maintenance-level changes; performing high level impact analysis and executing complex test approaches for production and maintenance-level software changes; involvement in the life cycle of Data Migration process starting from requirement gathering, data analysis, data mapping and reconciliation; working with Scrum teams to complete root cause analysis and correction action plans to ensure test coverage throughout the development, quality assurance, and UAT life cycles; providing continuous reviews and recommendations for improvement of processes related to Quality Assurance; advising and assisting the Quality Assurance Manager on testing risks and resolutions as they relate to the Integration team's efforts; and Scrum Master duties shared with the development manager.

Requirements: Seven (7) years of experience working with QA, or related, experience, specifically with investment processing. Five (5) years of experience in each of the following: SQL Query creation and execution; Using API and UI Automation Frameworks, specifically one or a combination of the following: Selenium, Serenity, Test Complete, Ready API, PyTest, Postman, TestNG, and Insomnia; Reviewing and analyzing logs specifically one or a combination of the following: ELK, Splunk, Kibana, New Relic, or Dynatrace; with sensitive data quality assurance including security related test cases, permission boundary testing, and report validation; with life cycle of Data Migration process starting from requirement gathering, data analysis, data mapping and reconciliation; with sensitive data quality assurance including security related test cases, permission boundary testing, and report validation; with integration testing approaches and techniques between complex systems, both proprietary and third party; terrestrial to cloud server migrations; with Python scripting language to test API's and UI scripts; Monitoring Splunk and Azure application insight logs.; Validating mobile web applications on Android and IPhone devices; Working in an agile environment; SDLC lifecycle management tools such as Jira, Quality Center, or Rally.

In the alternative, a bachelor's degree (or foreign equivalent) in Computer Science, Information Technology, Engineering, Business Administration, or related field and five (5) years of post-baccalaureate experience with QA, or related, experience, specifically with investment processing would be acceptable. Three (3) years of experience in each of the following: SQL Query creation and execution; Using API and UI Automation Frameworks, specifically one or a combination of the following: Selenium, Serenity, Test Complete, Ready API, PyTest, Postman, TestNG, and Insomnia; Reviewing and analyzing logs specifically one or a combination of the following: ELK, Splunk, Kibana, New Relic, or Dynatrace; with sensitive data quality assurance including security related test cases, permission boundary testing, and report validation; with life cycle of Data Migration process starting from requirement gathering, data analysis, data mapping and reconciliation; with sensitive data quality assurance including security related test cases, permission boundary testing, and report validation; with integration testing approaches and techniques between complex systems, both proprietary and third party; terrestrial to cloud server migrations; with Python scripting language to test API's and UI scripts; Monitoring Splunk and Azure application insight logs.; Validating mobile web applications on Android and IPhone devices; Working in an agile environment; SDLC lifecycle management tools such as Jira, Quality Center, or Rally.

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