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Staff QA Automation Engineer

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Job Description The Staff QA Automation Engineer will play a key role in the testing and quality assurance of key initiatives within the Insurance domain in Experian Consumer Services. Insurance is one of the fastest growing areas within Experian and we are looking for a strong QA Engineer who thrives in a fast-moving environment. The candidate will work very closely with product owners, architects, and engineering teams to help deliver high quality, scalable, secure cloud-based technology solutions. Responsibilities Design & build automated regression tests from test cases using Cucumber/Java and Playwright framework Review PR's and provide constructive feedback Help and educate other automation team members to follow automation framework rules Help ensure that automation framework stays intact Add new features to automation framework Create test plans & test cases for assigned features Execute test cases & perform defect tracking/management Develop testing tools and resources to aid in testing effort Develop utility tools that will help rest of the organization on a day-to-day basis Plan and run automation tests, integration tests, & regression tests Able to perform Load Test, Performance Test, Stress Test for respective micro services Help define & lead the effort to implement quality requirements & processes Comfortable communicating with developers & other technical team members Participates in the full SDLC/Agile cycle engagements, including meetings, iterative development, estimations and design sessions Perform UAT / regression testing for all enhancement and/or patch releases against documented specifications Perform UAT / regression testing for iOS and Android on emulators and hardware devices Identify and report QA issues, workflow issues and other project risks to development team Evaluate overall test processes and produce regular progress updates Verification testing and patch validation to verifying expected changes were installed Evaluate system performance, reproduce issues and work with development to resolve identified problems Tasks include evaluating daily test suites results, maintaining/updating automation tests, and improving regression tests/framework Review logs (e.g. SPLUNK, DataDog, AWS) and data analytics for the application and work with Analytics/BI/BusOps team to develop and validate analytics information based on business requirement Analyze live and historic data stored in MySQL, DynamoDB, AWS RedShift, Aurora databases Ability to perform root cause analysis (RCA) across SDLC phases – Application layer, Database layer, Web Services, UI (Front End), and wherever applicable