How to Hire a QA Engineer in 2026: Test Strategy, Automation, and Judgment

QA gets under-invested in until something ships broken. Then it gets over-corrected with a sprawling regression suite that nobody trusts and takes 45 minutes to run. Neither of those is quality engineering.

The QA engineers who prevent this pattern have a specific skill that is easy to overlook in a job description: they think in risk before they think in tests. They ask what could go wrong, who it affects, how likely it is, and what the cost of missing it is. The test cases are the output of that thinking, not the starting point.

Screening for this changes how you interview.

What the role actually is

A QA engineer’s job is to give the team enough confidence to ship. That is different from verifying that the acceptance criteria are met.

Verifying acceptance criteria is necessary but not sufficient. A feature can pass every test case in the Jira ticket and still fail in production because nobody tested it under a slow network, or with a user who uses keyboard navigation, or with data that matches the edge case a developer did not consider. The QA engineer’s job is to think of those cases before they become incidents.

This is why the most useful signal in an interview is not whether a candidate can write a Playwright test. It is whether they ask the right questions when you hand them a feature to test.

The automation screen

Playwright is the dominant end-to-end automation tool in 2026. It has largely replaced Selenium for browser automation in teams starting fresh, and it has made significant inroads in teams migrating away from Cypress (primarily for its multi-browser support, reliable auto-wait, and first-class parallel execution).

Ask a candidate to walk through how they would test a login flow with Playwright. A useful answer covers:

• Using page.fill() and page.click() for interaction
• Asserting against the DOM state after the action, not just navigating
• Handling async waits with page.waitForURL() or expect(page).toHaveURL() rather than sleep calls
• Writing tests that are isolated from each other (no shared state between tests)
• Organizing tests with test.describe() blocks and using fixtures for shared setup

Someone who reaches for page.waitForTimeout(2000) as a way to handle async behavior has not thought through test reliability. Timed waits are the root cause of most flaky tests.

Follow up: “How would you test the same login form’s error state when the credentials are wrong?” The answer should set up a test with intentionally bad credentials and assert against the error message visible to the user. If they reach for mocking or intercepting network requests, ask when they would and would not do that.

Ask about CI integration. A QA engineer in 2026 should expect their tests to run in a pipeline. Ask them how they configure a Playwright run to run in headless mode across multiple browsers in parallel. The answer should mention the playwright.config.ts file, the projects array for configuring multiple browser targets, and workers for parallel execution.

The test strategy question

Give them a feature description. Not a JIRA ticket with acceptance criteria, but a rough functional description: “Users can upload a profile photo that must be under 5MB, and we resize it on the backend to three sizes for use in the app.”

Ask: “What would a test plan for this feature cover?”

A weak answer produces a flat list of test cases: upload a valid image, upload an image over 5MB, upload a non-image file. These are obvious and any developer could write them.

A strong answer identifies the test dimensions: file type validation, file size boundary conditions (exactly 5MB, 5.001MB), image format handling (JPEG, PNG, WebP, HEIC), the three resized output sizes and whether they look correct, error message copy when validation fails, accessibility of the upload control, behavior on a slow network where the upload stalls, and what happens if the backend resizing service is unavailable.

The strong answer also makes prioritization calls: which of these should be automated, which should be manual exploratory, and which is low-risk enough to skip. That prioritization judgment is what separates a QA engineer from a test case writer.

Manual testing still matters

This needs to be said plainly: manual testing is not dead. There are things it does that automation cannot.

Exploratory testing finds bugs by following curiosity and intuition rather than a test plan. A skilled tester who is given an hour with a feature and told “find something unexpected” will find things that no predetermined test suite would find, because the bugs you find that way are the ones nobody thought to test for.

Usability judgment is also manual. Automation can verify that a button exists and is clickable. A human tester notices that the button is in the wrong place, or that the error message is confusing, or that the flow requires too many steps. These are real quality issues.

Ask candidates about the last time they found a bug through exploratory testing that automation would have missed. The answer reveals whether they actually do exploratory testing or whether they treat their job as “write scripts for the acceptance criteria.”

What to look for in their portfolio

Test code lives in repositories. Ask for a sample.

What makes test code good: tests that read like documentation, fixtures that handle setup cleanly, assertions that fail with useful messages, test names that describe the behavior being tested rather than the action being performed.

What makes it bad: waitForTimeout everywhere, test names like test 1 or login test, deeply nested describe blocks that make it hard to find the failure, and tests that depend on running in a specific order.

Also ask about the last test they deleted and why. Deleting a test is sometimes the right call: it was testing implementation rather than behavior, it had a 30% flake rate that could not be fixed, or the feature it covered was removed. A QA engineer who has never deleted a test has not had to make the judgment call about when a test is doing more harm than good.

The team fit question

QA engineering works best when it is integrated into the development process rather than a handoff at the end. Ask candidates how they prefer to work: do they get involved in sprint planning to flag testability concerns early? Do they pair with developers on features that have complex edge cases? Do they review pull requests?

A QA engineer who waits at the end of the process for a build to test is slower and less effective than one who is in the room when requirements are being written. That preference for earlier involvement is a good signal for a team that ships quickly.

More background on building testing processes as a team: our AI-native testing post covers how QA looks different when the product itself has probabilistic behavior.