Among software quality assurance analysts and testers, AI is already used for a large share of the tasks. Measured exposure for software quality assurance analysts and testers: 52% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

QA Engineer

As a QA Engineer, you will oversee quality assurance activities associated with software analysis. This includes developing test plans, performing exploratory testing and executing functional and regression testing. You will work closely with engineering, product management and support teams to ensure the product is ready for release.

Core Skills & Experience

• 10+ years of hands-on experience in full-stack development and enterprise-grade applications. • Strong automation framework design experience (Java, Python or JavaScript-based frameworks like Selenium, Cypress, Playwright, Appium). • Expertise in CI/CD integration (Jenkins, GitHub Actions). • Advanced test strategy & architecture – able to design scalable, maintainable, and reusable automation solutions. • API automation (Postman, Testfully, Karate, or similar). • Performance & load testing (JMeter, Gatling, k6). • Security testing basics (OWASP, integration with automation pipelines, penetration testing). • Hands-on with containerization/orchestration (Docker, Kubernetes, ECS/EKS). • Databases & backend validation (MYSQL 8, Oracle).

Leadership & Strategic Skills

• Define end-to-end automation strategy for enterprise projects. • Stakeholder communication (reporting quality metrics, risks, and ROI of automation). • Work closely with DevOps, Developers, and Product Owners. • Ability to choose tools & frameworks based on business/tech needs. • Contribute to quality engineering culture (shift-left, test pyramid, continuous testing).

Tools & Ecosystem Knowledge

• Selenium, Cypress, Playwright, Appium. • BDD/TDD frameworks (Cucumber, SpecFlow, JBehave). • Git, Maven/Gradle, npm/yarn, etc. • Test management (Jira). • Cloud providers (AWS). • IntelliJ IDE. • Testfully and Postman. • AI tool like Co Pilot and Claude.

Soft Skills

• Strong analytical & problem-solving skills. • Ability to drive automation adoption across teams. • Experience in agile environments. • Strong documentation and reporting skills.