3 to 7 years in software quality assurance for web or SaaS applications, with deep experience in exploratory and manual testing of complex, data-heavy systems.AI Fluency·You use AI assistants in your testing every day and can give concrete examples: generating test ideas and edge cases, building test data, writing SQL or log queries, summarizing logs or diffs, reproducing bugs, and drafting clear reports.Skill at prompting and giving context, such as feeding in the ticket, the diff, and the acceptance criteria to get useful output instead of generic answers.Healthy skepticism. You verify what AI tells you, recognize when it is confidently wrong, and never let it replace your own judgment about risk.An understanding of how to test systems that don't always give the same answer, such as AI features, by using repeated trials, sample sets, and "is this answer right?" checks rather than exact matches.Careful handling of data. You use synthetic or masked data with AI tools and never paste customer or court data into unapproved services.
Deadline:26 Nov 2026