Software Quality Assurance and Testing Work in the United States: Evidence from 108 Current Vacancies

Abstract

Software testing is sometimes presented as either a purely manual entry route or a branch of software engineering dominated by automation. A purposive review of 108 current United States software quality assurance vacancies shows why neither description is adequate on its own. The most visible practices in this sample were defect work, mentioned in 92 records; test-case or scenario work, 83; regression, 80; and automation, 79. Requirements or other test-basis analysis appeared in 45 records, acceptance or release evidence in 49, API testing in 44, and data testing in 31. Exploratory testing appeared explicitly in 31 records. These categories overlap and describe only this sample. The role mix is demanding. Only one record met a conservative direct-entry manual or analyst signal. Nineteen were early-career but still contained education, experience, programming, or other technical filters; 22 were general or intermediate; and 66 were senior or automation-progression comparators. This evidence supports a beginner learning pathway built on manual analysis, reproducible evidence, defect communication, retest, and regression, followed by API, data, and automation literacy. It does not support promises of easy hiring, no technical learning, or universal access to QA roles. The study uses 99 employer-controlled or first-party records and a separately disclosed nine-record fallback stratum. Direct U.S. occupational context from the Bureau of Labor Statistics and O*NET supports the distinct occupational identity of software QA analysis and testing, while also reinforcing its substantial preparation requirements. A direct review of 65 live MTF programmes found no exact duplicate, provided the proposed certificate remains bounded from Systems Analysis and Business Analysis. The learning design is feasible through original text, fictional cases, synthetic data, and original templates without reproducing protected standards, certification curricula, vendor interfaces, or employer expression. The archive includes the report PDF, a rights-limited accepted-vacancy CSV, coding summary, record-level analytic labels without vacancy prose, context-source bibliography, methods, data dictionary and dispositions. CC BY 4.0 applies to original MTF research and annotations. Third-party source material remains subject to its original rights.