Ellie Mae (NYSE:ELLI) is the leading cloud-based platform provider for the mortgage finance industry. Ellie Mae's technology solutions enable lenders to originate more loans, reduce origination costs, and reduce the time to close, all while ensuring the highest levels of compliance, quality and efficiency. Visit EllieMae.com to learn more.
Ellie Mae Inc seeks a Staff Engineer, QA in Pleasanton, CA.
Set up automation environments and infrastructure. Configure Jenkins for the End to End Project. Defines, documents & implements end to end automation coding standards. Manages TFS code lines, merges and upgrades. Designs integrated automation test strategy using Ellie Mae's Web & Windows based ATF. Develops scripts to automate system to system automation by re-using or modifying existing scripts developed by the sprint teams and by designing new re-useable code required to automate our integrated smoke and regression tests. Improve current scripts by refactoring code to reduce execution time and maintenance overhead. Leads other automation testers working on the End to End Team. Performs code reviews to ensure code quality and standards are being followed. Mentor, train and coach others on the team as needed to help review execution results and make changes to automated test suites. Work with other technical staff to understand the inter-product dependencies and impacts across products to better design framework for end to end LOS automation. Participates in strategic technical decisions with other Automation Teams, and with PEG.
40 hours/week. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at www.jobpostingtoday.com (ref # 45504) for consideration.
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Ellie Mae is an equal opportunity and affirmative action employer. Women, minorities, people with disabilities, and veterans are encouraged to apply.
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About Ellie Mae
Ellie Mae is the provider of solutions for the residential mortgage industry delivering compliance, quality, and efficiency through Encompass software.