Metova

Metova

Metova specializes in developing mobile applications and digital solutions, leveraging an agile process to enhance design, usability, and marketing strategies while providing expert consultancy to drive digital transformation for startups and enterpris...

Internet Software & Services
51-250
Founded 2006

Description

  • Design, develop, and maintain scalable test automation architectures and frameworks.
  • Define and execute automated testing strategies for web applications and REST APIs.
  • Develop and maintain automated regression testing strategies.
  • Implement BDD practices across testing workflows.
  • Design and execute performance testing.
  • Integrate automated tests into CI/CD pipelines, particularly Azure DevOps environments.
  • Develop automated tests using Playwright, Selenium, Karate, Gatling, or similar technologies.
  • Collaborate with development and engineering teams to establish quality standards throughout the software development lifecycle.
  • Apply quality engineering practices to LLMs, AI agents, and agentic workflows.
  • Evaluate and validate AI-generated outputs and AI-assisted development processes.
  • Continuously improve testing processes, automation coverage, and quality practices.

Requirements

  • 4+ years of experience in QA Automation, Software Testing, or a similar Quality Engineering role.
  • Strong experience designing test automation architectures and strategies.
  • Experience with API, web, BDD, regression, and performance testing.
  • Hands-on experience with CI/CD and Azure DevOps.
  • Experience with Playwright, Selenium, Karate, Gatling, or similar automation tools.
  • Programming experience with Java, JavaScript/TypeScript, Python, or similar languages.
  • Strong understanding of REST APIs.
  • Experience with Git and version-control workflows.
  • English proficiency at B2 level or higher.
  • Practical experience or working knowledge of LLMs, AI agents, agentic workflows, prompt or context engineering, tool calling, AI orchestration, specification-driven development, AI-assisted code generation, or AI-output evaluation is highly valuable.

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