QA Engineer (Automation & Resilience)

New
Europe - RemoteFull-TimeMiddle
Salary not disclosed
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Job Details

Languages
Exceptional English skills (written and spoken)
Required Skills
DockerPythonSQLCypressJavaKubernetesAPI testingGoSeleniumPlaywright

Requirements

  • Solid experience as an Automation QA Engineer or SDET.
  • Experience working with complex cloud-native SaaS or distributed data platforms.
  • Deep, hands-on experience with modern automation frameworks such as Playwright, Cypress, or Selenium.
  • Proficiency in programming languages like Java, Python, or Go.
  • Strong SQL skills.
  • Extensive experience with API testing.
  • Passionate about breaking code and investigating software behavior under production pressure.
  • Basic understanding of cloud infrastructure (AWS, Azure, or GCP).
  • Familiarity with containers (Docker, Kubernetes).
  • Experience with version control tools like GitHub.
  • Exceptional English skills (written and spoken).

Responsibilities

  • Design, write, and maintain robust automated E2E test suites that mimic real-world enterprise workflows on the Actian Data Intelligence Platform.
  • Build automated tests specifically designed to test the platform's stability, load capacity, and recovery under stress or failure conditions.
  • Embed automated test suites seamlessly into CI/CD pipelines (GitHub Actions/Jenkins) to provide rapid feedback.
  • Perform deep integration and API automated tests to verify data accuracy across distributed architecture.
  • Partner with the Sustaining Engineering team to analyze production bugs and write automated tests to reproduce them.
  • Actively track, isolate, and rewrite flaky tests to maintain confidence in automation results.
  • Collaborate with backend developers and product owners to map out testing strategies early in the development lifecycle.
  • Leverage AI tools to generate test data, accelerate script writing, and debug test failures.
  • Write clean, modular test code and conduct peer reviews to maintain a healthy test codebase.
  • Monitor feature-level QA metrics like execution times, code coverage, and pass rates.
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