QA Automation Engineer - Alpharetta

Responsibilities

• Work as part of a Core Processing Agile Squad/Fleet, on QA processes with heavy focus on execution of automation with various automation tools and techniques.
• Contribute to Automation Frameworks, and automate testcases ensuring comprehensive automation -coverage
• Develop utilities and customized frameworks aligning with DevOps practices
• Estimate, prioritize, plan and coordinate test and automation activities independently.
• Review quality specifications and technical design documents to provide timely and meaningful feedback
• Record and document debugging procedures.
• Track test metrics, such as test coverage, defect densities, and open defect counts, to gain and share insights about quality issues
• Create detailed, comprehensive, and well-structured test plans and test cases following company standards within required timeframes
• Perform thorough manual regression testing when technical issues are resolved and know how to automate those tests.
• Actively contribute and participate in daily stand-ups, and Agile Sprint planning and grooming sessions.
• Design tests based on Agile specifications for functionality and expected behavior
• Stay up to date with new testing approaches, tools and test strategies.

• 10-12 years of proven work experience in QA with an emphasis on QA automation.
• 7+ years of demonstrable experience in automation technologies including Selenium, Protractor, UFT, Junit, Gherkin, JMeter etc. and scripting languages including java
• Experience in BDD framework such a BDD cucumber.
• Experience in services/API testing and automation.
• Experience in DevOps with Integrating automated tests in Continuous Integration and Delivery pipeline* In-depth knowledge of test management software (e.g. ALM, Jira).
• Proficiency in usage of SQL queries for databases or large datasets.
• Experience in Agile methodology.
• Strong analytical and problem-solving skills.
• Team player with good communication skills to work effectively in a global team.

• Working knowledge of cloud-based application architecture and principles.
• Prior experience working in the Financial Services Industry

• Minimum BS degree in Computer Science, Engineering or a related field.