Entrans QA automation engineers write real code, not click-through scripts. They build Playwright, Selenium, and Cypress frameworks that survive UI changes and run clean in your pipeline. When you hire QA automation engineers through Entrans, you get curated profiles in 24 to 48 hours and onboarding in 48 to 72 hours.

Most automation candidates can drive a tool. Far fewer write code your developers would approve in review. That gap is why so many test suites end up flaky and quietly abandoned. Our engineers come through the same DevOps and quality engineering practice that runs delivery for our enterprise clients.
Every QA automation engineer we place writes maintainable code in Java, Python, C#, or TypeScript. We test that with a live scripting exercise before you see the profile.
They build on Page Object Model and modular architecture. A UI change then breaks one file instead of eighty. Maintenance cost is a design decision, not bad luck.
Enterprise QA usually starts with missing requirements. Our engineers reverse engineer the undocumented workflows first, then automate. That is the same discipline we apply in application modernization work. We did it for a higher education platform with no requirement docs at all.
A suite nobody trusts is worse than no suite. Our engineers fix the causes: bad test data, race conditions, hard waits, and environment drift. A red build should mean something.
Entrans is an AI-first engineering firm, so our engineers use AI-assisted test generation and self-healing locators through our agentic AI practice. They will also tell you where those tools create false confidence. Self-healing hides a broken locator; it does not fix a broken feature.
Here is the work our QA automation engineers take on. Each item below is something they have shipped for an enterprise client, not a tool they can name.
Playwright, Selenium, and Cypress suites with parallel execution across browsers. Playwright leads on new builds. Selenium stays where your installed base already runs on it, and they will say so honestly.
REST and GraphQL validation in RestAssured, Postman, or Karate. Contract tests catch the case where a backend change silently breaks a client.
Appium, XCUITest, and Espresso running on real device farms through BrowserStack or Sauce Labs. iOS and Android, including gesture paths and offline states.
Suites wired into Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. Allure or ExtentReports dashboards, failure screenshots, and Slack alerts so a break reaches the right person fast.
JMeter, Gatling, and k6 scenarios that find the bottleneck before your users do. Baselines you can track release over release instead of guessing.
Regulated workflows need evidence, not assurances. Our engineers add security checks and audit-ready compliance validation to the suite, backed by our cybersecurity and compliance team. We ran exactly this on a US lending platform.
QA automation hiring fails in a specific way. The resume says Selenium. The interview goes fine. Three months later you own a flaky suite nobody runs. Our process is built to catch that early.
Tell us your application stack, your CI/CD setup, and where coverage is thin today. A QA lead scopes the role, not a recruiter matching on tool names.
You receive profiles of engineers who have automated comparable systems. Each one names the framework they built and how they handled maintenance.
Interview whoever you want. Ask them to script a flow live and explain a flaky test they diagnosed. That single exercise separates automation engineers from manual testers with tool exposure.
Your engineer gets repository and environment access, then starts with a coverage audit. You find out what the current suite really tests before anyone writes new code.
Add engineers at release peaks, or move ongoing regression into application support and IT operations once the suite is stable. The same account team stays with you.

A dedicated automation QA engineer who owns your framework long term, from design through maintenance. This fits teams with frequent releases and no in-house automation lead.

Add automation capacity to a QA or engineering team you already have. It works well next to your DevOps engineers when the goal is getting tests running inside the pipeline.

Scoped work with a defined outcome. That might be a framework build from scratch, a Selenium to Playwright migration, a regression suite rescue, or release certification for one product.
Our team serves global clients across BFSI, healthcare, education, retail, and manufacturing. Each one carries a different definition of a serious defect. Our specialists build coverage around what actually matters in your sector, whether that is loan data accuracy, patient safety, or checkout reliability.
A QA automation engineer writes code that tests software automatically instead of testing it by hand. The work covers building a test framework and scripting UI and API tests. It also means wiring suites into CI/CD, managing test data, and keeping the suite stable as the product changes. Good ones also decide what should not be automated, which saves more time than the scripts they write.
A manual QA tester explores the product and finds defects through judgment and product knowledge. A QA automation engineer builds software that checks known behavior repeatedly and fast. You need both. Automation handles regression so testers can spend their time on exploratory work, edge cases, and usability, where humans are still far better.
Cost depends on seniority, the stack, and whether you need framework design or just script coverage. Market rates for offshore and nearshore automation engineers commonly run from roughly $25 to $70 per hour. US-based mid-level salaries sit around $110,000 a year before benefits. Hiring an automation QA engineer through Entrans replaces that fixed cost with a monthly or hourly engagement. There is no recruitment fee and you can scale down. We quote once we have seen your stack and coverage goals.
This is the single biggest risk in QA automation hiring, because many candidates are manual testers with tool exposure. We run a live scripting exercise, not a quiz. Candidates build a small test against a real application, handle a dynamic element, and explain their locator strategy. We also ask them to walk through a flaky test they diagnosed, which is hard to fake.
Yes, and it is one of the most common ways clients start. Our engineers begin with a coverage audit that shows what the suite genuinely tests and which tests are unreliable. From there they stabilize the flaky cases, refactor toward a maintainable structure, and only then extend coverage. Migrating from Selenium to Playwright is a frequent part of that work.