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D
Deloitte
Experienced QA Engineer with Hands-on Automation and AI Skills
Career Insights for Software QA Engineer / Tester
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Based on Arizona data
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What they do
A Software QA Engineer or Tester designs and runs in-depth diagnostic tests to evaluate software and check for problems before new products are marketed. Pilots software and applies tests to check for errors and glitches.
$105,137 / year median in Arizona
-19% projected decline
Job Description
Senior QA Engineer
- AI & Engineering Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success.
SDET III
, you will bring considerable technical expertise to deliver effective solutions to clients including the following: + Acting as the lead, interfacing between clients and our Deloitte teams. + Helping to create testing solutions to meet our clients' business needs. + Leading the testing of custom technology solutions. + 6+ years' relevant consulting or industry experience. + Bachelor's degree in computer science, engineering or a related field. + 4+ years hands-on experience defining the testing strategy for large scale programs and ensuring requirements traceability throughout the system development lifecycle. Experience should include leading the testing efforts, including experience with all phases of testing: system integration, user acceptance, and performance testing. + Experience with at least two of the following:TCOE , TMO
, mobile testing, automation testing, SAP /Oracle testing, data testing in a client-facing or industry role. + 4+ years' experience driving the quality assurance processes and gaining delivery and buy-in from executive leadership. + 2+ years' experience leading teams- onshore, offshore and nearshore. + Experience with Test and Defect Management tools
- MicroFocus, ALM , JIRA .
- Shell, VBScript, Perl or Python. + Experience with Source Control Systems
- SVN or GIT . + Experience with Build tools
- Maven, CircleCI.
CI/CD/CT
tools- Jenkins, Bamboo, Quickbuild. + Experience applying prompt engineering techniques to generate, refine, or debug automated test scripts and test data. + Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve. + Experience working in Cloud, Web and Mobile Testing platforms
- Saucelabs, Browerstack are preferred. + Hands-on experience with machine learning models. + Experience in Python NLTK or similar natural language processing technology. + Experience evaluating or testing AI/ LLM
- based application features (e.g., chatbots, copilots, RAG
- based systems), including prompt-response validation and hallucination/edge-case testing.
- white-box, black-box, load testing, coverage testing and regression testing.