"Alerted.org

Job Description

One of Insight Global's largest payroll clients is looking for a QA engineer to join their team onsite in Pasadena, CA. This person will be supporting their financial debit card platform through a modernization effort including initiatives around cloud, scaling, and AI. This person will be responsible for both manual and automation testing. They are also responsible for testing software applications across QA/Test lifecycle of an application i.e. SIT, UAT, Functional testing etc. They should also have a background in data analysis and be able to assist with analyzing data patterns, validating data for no anomalies etc. This team is working to incorporate innovative technologies like AI, Amazon Q, CoPilot, so the ideal candidate would also have exposure or interest in those technologies as well.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

Experience automating software test cases using Selenium, Cucumber and Mobile test frameworks

Experience with both manual and automation QA testing

Experience/background in Data - data analysis, data patterns, validation etc. Any exposure to genAI

Experience in a Fintech company

Experience in a modernization of a platform