Top QA Engineer Jobs in Budapest

Design, develop, execute, and maintain automated test scripts and suites using Tricentis Tosca, Playwright, and Claude Code. Perform functional, integration, regression, API (REST/SOAP), and performance testing, validate data via SQL, log and track defects in Jira/Azure DevOps, integrate tests into CI/CD, and collaborate with development and business teams to ensure end-to-end test coverage and quality.

Lead a hybrid QA team to own testing lifecycle from requirements to release. Design and run manual and automated web, mobile, and API tests, develop test frameworks, improve CI pipelines, mentor engineers, track defects, and ensure high-quality releases.

Perform manual testing of mobile games across real devices and emulators; identify, document, and track bugs; develop and maintain test cases and automated scripts using Python with Selenium or Playwright; work with CI/CD and Docker; use Jira, TestRail, Confluence, and Postman; collaborate with product owners and developers and improve QA processes.

Investigate and reproduce customer-reported issues, create actionable bug reports, design and run manual and automated test plans, validate fixes, improve automated coverage, and track quality metrics for Kestra OSS and Enterprise editions.

Lead and architect end-to-end QA automation for a distributed data SaaS platform: build scalable frameworks, embed tests in CI/CD, drive integration/API/performance/data-integrity testing, eradicate flaky tests, mentor engineers, own release quality sign-off, collaborate across product and engineering, and apply AI tools to accelerate testing and optimize QA metrics.

Build and maintain automated test suites for smart contracts and UIs, integrate testing into development, identify and track bugs, improve test frameworks, and ensure comprehensive coverage for new features.

Perform manual and automated testing across web, mobile, APIs, backend services, and blockchain integrations. Build and maintain Python-based test frameworks, investigate issues across distributed systems, analyze logs/metrics/network traffic, contribute to release validation and automation, and collaborate with product, engineering, and DevOps. Use AI tools to accelerate testing, support incident analysis, and proactively improve testing coverage and product reliability.