Quality Assurance Engineer Job Description

A Quality Assurance Engineer in an information technology shop is the person who judges whether software is ready to ship, and who builds the machinery that makes that decision repeatable. The work starts long before a build exists. When a product manager writes a story for a new checkout flow or a permissions change, the QA engineer reads it for gaps: what the system should do with an expired session token, a null field in an API payload, a user who double-clicks Submit. Those questions turn into acceptance criteria and a test plan before developers open a branch.

The Bureau of Labor Statistics describes the occupation's core tasks plainly: create test plans, scenarios and procedures for new software; identify project risks and recommend steps to reduce them; run testing with manual or automated programs and exploratory testing; and document and report defects. In practice that becomes a split week. Part of it goes to writing and maintaining automated checks. A sensible suite has three layers: unit and component tests that developers own with QA input, API tests against service contracts, and a thinner set of end-to-end browser tests in Playwright, Selenium or Cypress. The rest goes to hands-on testing of features that are too new, too visual or too stateful for a script.

Automation is only useful if the team trusts it. A suite that fails at random on every third pipeline run teaches developers to click Rerun and ignore red builds. A large share of the job is suite hygiene: quarantining flaky tests, replacing brittle CSS selectors with role-based locators, seeding test data so runs do not depend on each other, and keeping the suite fast enough that it can gate every pull request in GitHub Actions, GitLab CI or Jenkins.

Exploratory testing fills the gaps that scripted checks cannot see. A good session has a charter ("probe the refund flow with partial shipments and currency changes"), a time box, and notes detailed enough that another tester could repeat it. Bugs found this way get written up with exact steps, environment, build number, logs and a severity call, then tracked in Jira or Azure DevOps until a fix is verified and a regression test exists for it.

Non-functional testing can sit on the same desk. That covers load and soak runs in k6, JMeter or Gatling, accessibility checks against WCAG success criteria with axe and a screen reader, and basic security probes such as authorization checks on every endpoint. On release day the QA engineer summarizes open defects, coverage gaps and risk so the release manager can make a go or no-go call.

BLS counts where this work happens. Among the largest employers of software quality assurance analysts and testers, computer systems design and related services accounted for 30%, finance and insurance 13%, software publishers 9% and manufacturing 9%. That spread matters: a QA engineer at a consultancy may rotate across client codebases every few months, while one at a bank lives inside change-control rules and audit evidence.

Education. BLS lists a bachelor's degree as the typical entry-level education for software quality assurance analysts and testers, and its projections table shows no required work experience in a related occupation for entry. Computer science, software engineering and information systems are the usual majors. Graduates of math, physics or engineering programs who have written real code also come into the field, as do career changers who learned automation through a bootcamp and can show a working test framework on GitHub.

Experience path. As a rough guide, people reach a QA engineer title after one to three years in a testing, support or junior development role, and senior titles after five or more. Typical entry points include manual test analyst jobs, technical support for a software product, and internships on a test automation team. Developers who move sideways bring an advantage in framework design; testers who move up bring an advantage in finding the defects nobody wrote a check for.

Certifications. None is legally required, and a public repository with a working framework shows skills a certificate cannot. The certifications worth knowing:

• ISTQB Certified Tester Foundation Level (CTFL), awarded by the International Software Testing Qualifications Board (ISTQB) through national member boards, with ASTQB as the U.S. board.
• ISTQB Certified Tester AI Testing (CT-AI). Version 2.0 replaces v1.0 and covers testing machine learning systems and generative AI systems such as large language models. The English v1.0 exam remains available until April 21, 2027, and non-English versions until October 21, 2027.
• ISTQB Certified Tester – Testing with Generative AI (CT-GenAI). Version 1.1 of the syllabus equips testers with strategies for managing risks such as hallucinations, bias, security, privacy and environmental impact. ISTQB says it is intended for testers, test analysts, test automation engineers, test managers, user-acceptance testers and software developers.
• Certified Software Quality Engineer (CSQE), awarded by ASQ, which covers software quality development and implementation, inspection, testing and verification. It suits engineers headed toward process and audit work.

Technical skills. One language well and two readable: TypeScript or JavaScript for Playwright and Cypress, Java or Python for API suites and Selenium, and enough SQL to verify data state after a transaction. Plan on comfort with Git, pull-request review, Docker and at least one CI system. API tooling such as Postman, REST Assured and Pact for contract tests, plus a load tool like k6, rounds out the kit. Engineers on mobile products add Appium, XCUITest or Espresso.

Working habits. The best QA engineers write defect reports a developer can act on without a follow-up message, ask about failure modes in refinement rather than after release, and hold a release flag when the evidence says the build is not ready, even when the date is close.

The federal projection

BLS's 2025–35 projections put employment of software quality assurance analysts and testers at 187,600 in 2025 and 198,200 in 2035, an increase of 5.7%. O*NET labels that growth "Faster than average (5% to 6%)" and BLS estimates about 10,700 openings a year on average. Those are counts for the whole occupation, which includes manual testers and analysts as well as engineers.

The AI exposure flag

To complement its 2025–35 projections, BLS built a supplemental table that sorts detailed occupations into four categories of relative AI exposure: low, moderate, high and very high. Software quality assurance analysts and testers landed in "Very high." BLS is explicit about what that does and does not mean. Exposure signifies that AI technology could be or has been used to assist or complete some of the occupation's work, and BLS says a "high" or "very high" rating "does not necessarily mean employment will decline." The same table still projects the occupation to grow.

For a working QA engineer, a reasonable response is to put career time into the judgment layers of the job: deciding what to test, telling a product defect from a test defect, reading risk for a release, and designing the framework and observability that other people's tests run on.

Regulation that creates test work

Accessibility testing has a fixed federal target for state and local government software. The Justice Department's ADA Title II rule sets Web Content Accessibility Guidelines Version 2.1 Level AA as the technical standard for state and local government web content and mobile apps. In April 2026 the department published an interim final rule moving the compliance date for governments with a total population of 50,000 or more to April 26, 2027, and for smaller entities and special district governments to April 26, 2028. For QA engineers on those projects, that gives accessibility testing a fixed conformance target alongside functional tests.

Where careers go

After the senior QA title, the ladder splits. One branch leads to QA lead or test manager, owning strategy and staffing for several teams. Another leads to software development engineer in test (SDET) or test architect, building frameworks, test environments and pipeline tooling that whole engineering organizations use. A third exits into adjacent work where testing instincts transfer directly: site reliability engineering, release engineering, developer experience and platform teams, or product management for developer tools.

Specialization also widens options. Engineers who learn performance engineering, security testing or the validation paperwork required in regulated software (payments, health records, avionics) carry skills that do not depend on any one framework. So does experience testing AI features themselves: evaluating model outputs, building test sets for chat and search features, and catching regressions when a model version changes. That last area calls for treating a model's output like any other untrusted input.

Dear Hiring Manager,

I am applying for the Quality Assurance Engineer position on your payments platform team. For the past three years I have been a QA engineer at a mid-size logistics software company, where I own test strategy for the carrier integration services and the customer-facing shipment tracker.

When I joined, our end-to-end suite ran nightly, took close to two hours, and failed often enough that nobody read the results. I moved the critical paths to Playwright with role-based locators, pushed most business-rule checks down to the API layer with REST Assured, and set up isolated test data so tests could run in parallel. The suite now runs on every pull request in GitHub Actions in under fifteen minutes, and developers treat a red build as a real signal again.

I also spend deliberate time off script. Before a recent release that added multi-currency invoicing, I ran a set of chartered exploratory sessions around rounding, refunds and timezone cutoffs. One session turned up a case where a partial refund issued just after midnight UTC was booked to the wrong billing period. It passed every automated check we had. I wrote it up with logs and exact reproduction steps, paired with the developer on the fix, and added a regression test that now guards that boundary.

Your posting mentions contract testing between services and an upcoming accessibility audit. I introduced Pact contracts between our tracker front end and two back-end services last year, and I run axe scans plus manual screen-reader passes on every new screen, so I would expect to contribute on both from the first sprint.

I would welcome the chance to talk about how I approach release risk and test design.

Sincerely, Jordan Ellis