The QA engineer’s job has split in two directions at once. Code-heavy work has moved closer to development, with tests written in TypeScript or Java and reviewed like any other product code. At the same time, AI assistants can now generate a hundred plausible test cases from a user story, which makes the human part of testing, deciding what is risky and noticing what nobody specified, more valuable rather than less. The QA engineer skills worth hiring for in 2026 sit on both sides of that split.
This post is written for recruiters and engineering managers hiring testers, automation engineers and SDETs. Each skill below has a check you can put to a candidate, and the later sections cover how expectations change from junior to senior and an interview process built around finding defects rather than naming tools.
Core technical skills for QA engineers
1. Risk-based test design
Every tester knows boundary values and equivalence partitioning. A strong one also decides where not to test, ranking areas by how likely they are to break and how much a failure would cost. They use pairwise combinations when options multiply and state models when a feature has many steps.
How to check: hand over the notes for a release with six or seven changes in it and give the candidate a single afternoon of testing time. Ask how they would split it and what they would knowingly skip.
2. Exploratory testing
Exploratory testing is structured, not random clicking. Good testers work from a charter, keep notes as they go, vary data, timing and user roles deliberately, and come back with questions as well as bugs.
How to check: describe a feature from your product and ask the candidate to write two or three exploratory charters for it. Weak charters restate the requirement; strong ones target a specific risk.
3. Programming for automation
Automation is software, so a QA automation engineer needs real fluency in one language, usually Java, TypeScript or Python. That means functions, data structures, error handling and readable naming, not only knowing framework commands.
How to check: set a small coding task with no testing framework at all, such as a helper that generates valid and invalid Indian mobile numbers and PAN-format strings for test data. It separates people who can code from people who can only fill in a template.
4. UI automation framework choice and design
Playwright, Selenium WebDriver and Cypress all work, but they differ in browser support, language options, auto-waiting, parallel runs and how they handle multiple tabs or domains. A strong engineer chooses for the product and team, keeps UI tests few and focused on user journeys, and isolates them so they can run in any order.
How to check: describe your web app and current stack, and ask which framework they would pick and what would make them change their mind.
5. API and contract testing
Most business logic can be tested faster and more reliably below the UI. Good engineers use REST Assured, Postman with Newman or plain HTTP clients, validate schemas, and understand consumer-driven contract testing with Pact for teams with many services.
How to check: show one of your existing UI tests and ask which of its checks could move to the API layer, and what coverage would be lost by doing so.
6. CI pipelines, environments and test data
Tests are only useful if they run on every change and finish quickly. Strong candidates have wired suites into Jenkins or GitHub Actions, used Docker for repeatable environments, run tests in parallel and built test data that each test creates and cleans up for itself.
How to check: say your regression suite now takes too long to run on every pull request. Ask what they would measure first and what they would change.
7. Performance testing basics
Not every QA engineer is a performance specialist, but most should be able to script a simple load test in JMeter, k6 or Gatling and read the results. That means understanding percentiles, throughput, error rates and why an average response time can hide a problem.
How to check: show a load test summary where the average looks fine and the 95th percentile does not. Ask what it tells them and what they would look at next.
8. Device and browser coverage
Testers working on consumer products need to choose which devices, OS versions and browsers to cover, using Appium, Espresso, XCUITest or a device cloud such as BrowserStack. Good coverage follows real usage data, not a list of the newest phones.
How to check: share a simple breakdown of your users by device and browser and ask the candidate to propose a coverage matrix for a release.
Working skills that separate good QA engineers from average ones
- Talking about risk, not just results. A pass rate says little. Good QA engineers tell a release owner what was not tested, why, and what that means for users, in two or three plain sentences.
- Making developers better at testing. Strong testers review unit tests, suggest testability changes such as stable test IDs or injectable clocks, and help developers write their own checks instead of guarding the gate alone.
- Domain sense. In payments, a rounding error matters more than a misaligned icon. In healthcare, an audit trail matters more than speed. Testers who learn the business find the defects that cost money.
- Pruning the suite. Good automation engineers delete tests that duplicate others or no longer protect anything, and can explain why a smaller suite is sometimes a better one.
QA skills that matter more in 2026, and ones that matter less
Matter more
- Reviewing AI-generated tests. Assistants in editors and test tools produce tests quickly, but many check the wrong thing or assert nothing meaningful. Judging whether a generated test protects anything is now a daily skill.
- Testing AI features. Chatbots, summaries and recommendations do not give the same answer twice. Testers need evaluation sets, acceptable-answer criteria and basic checks for prompt injection and unsafe output.
- TypeScript and Playwright. Many web teams have moved new automation to Playwright with TypeScript, so engineers who know only Selenium with Java may need a ramp-up.
- Accessibility and security awareness. Accessibility rules in Europe and growing expectations elsewhere mean testers should use tools such as axe and a screen reader. Knowing the OWASP Top 10 helps them spot obvious security gaps.
- Testing in production safely. Feature flags, canary releases and monitoring dashboards let teams check real behaviour after release. QA engineers who can read logs and metrics find problems that staging never shows.
Matter less
- Record-and-playback tools. Recorded scripts break with every UI change.
- Long step-by-step test case documents. Detailed scripts for every scenario take time to write and maintain. Checklists, charters and automated checks have replaced much of that writing.
- Large UI-only regression suites. Teams now push most checks to the API and unit layers and keep a thin set of end-to-end journeys.
QA skills by level, from junior to senior
| Skill area | Junior | Mid-level | Senior |
|---|---|---|---|
| Test design | Applies standard techniques to a story | Prioritises by risk across a feature | Sets test strategy for a product |
| Exploratory testing | Follows charters written by others | Writes charters; reports findings clearly | Coaches the team on exploration |
| Automation code | Adds tests to an existing framework | Builds and maintains suites | Designs frameworks; reviews others’ code |
| API and contracts | Runs API checks in Postman | Automates API suites with schema checks | Introduces contract testing across services |
| CI and environments | Reads pipeline results | Wires suites into CI; manages test data | Sets quality gates; keeps runs fast |
| Performance | Understands basic metrics | Scripts and runs simple load tests | Plans workload models for peak events |
| Risk communication | Reports what was tested | Explains gaps and their impact | Advises on release decisions |
How to assess QA skills in a hiring process
Run a seeded-bug session. Take a build of a simple internal app and plant several defects of different severity, from a cosmetic glitch to a wrong calculation. Give the candidate a fixed session and ask for a short summary at the end. You learn how many bugs they find, which they rank highest and how they describe what they did not reach.
Ask for a one-page test strategy. For a real upcoming feature, ask what they would test at the unit, API and UI layers, what they would keep manual, and what they need from developers. It shows planning ability that a coding task does not.
Give a failing test and a log. Ask whether the failure is a product bug, a test bug or an environment problem, and how they decided.
Read their repository history. If they share automation work, look at commit messages, the CI configuration and how tests are organised over time, not only the final code.
Red flags on a CV:
- “100% automation coverage” with no detail on what was covered or how it was measured.
- A long list of tools with no programming language named.
- Achievements counted in test cases executed, rather than defects prevented or time saved.
- An SDET title with no sign of code written outside test scripts.
When you are ready to put the role in writing, our QA engineer job description gives you a template to write it up. Zilo AI can help you hire QA engineers in India for automation, manual, performance or SDET work, and the developers and DevOps engineers they test alongside are on our IT talent page.
Frequently asked questions
Do QA automation engineers still need manual testing skills?
Yes. Deciding what to automate depends on understanding the product the way a manual tester does. Automation engineers who never explore the product tend to automate the obvious paths and miss the risky ones.
Which programming language should a QA automation engineer know?
The one your developers use, where possible, so they can read and help maintain the tests. Java and TypeScript are the most common for automation, with Python close behind.
Is ISTQB certification worth asking for?
It shows a candidate knows testing vocabulary and standard techniques, which can help with juniors. It says little about automation skill or judgement, so treat it as a plus rather than a filter.
Can AI testing tools replace a QA engineer?
They can speed up writing tests, generating data and spotting visual changes. They do not decide what matters to your users or which risks a release can accept, which is still the core of software tester skills.
If you are building a testing team or adding automation to one, talk to Zilo AI about the product, your current test coverage and the kind of tester you need. We can fill a single role or staff a complete testing team.