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3 дня назад

Testing & Automation Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Testing & Automation Engineer (AI): Designing and maintaining automated UI, API, and backend tests for enterprise software applications with an accent on test automation frameworks, CI/CD integration, and AI-assisted testing. Focus on expanding functional coverage, validating AI-generated tests, analyzing defects, and providing evidence-based release-readiness signals.

Location: Onsite in Shelton, Connecticut, United States

Company

hirify.global operates an enterprise technology environment supported by shared testing and engineering functions.

What you will do

  • Design, develop, and maintain automated UI, API, and backend tests across applications and platforms.
  • Execute functional, integration, regression, and end-to-end testing using a test-pyramid approach.
  • Build resilient automation frameworks and integrate continuous testing into CI/CD pipelines such as Azure DevOps.
  • Collaborate with Software Engineering and Product teams on test scenarios, acceptance criteria, sprint activities, and defect resolution.
  • Define release-readiness criteria, report coverage and defect-escape measures, and provide go/no-go quality input.
  • Use and validate AI-assisted tools for test generation, test-data creation, coverage analysis, and defect detection while helping establish safe usage guardrails.

Requirements

  • 5–7+ years of experience in software testing, quality engineering, or automation roles.
  • Experience with automation tools and frameworks such as Selenium, Cypress, Playwright, REST-assured, or Postman.
  • Ability to read, write, or debug test code or scripts in languages such as Java, JavaScript/TypeScript, Python, or C#.
  • Understanding of REST APIs, service-based architectures, CI/CD pipelines, and continuous-testing concepts.
  • Hands-on experience with AI-assisted testing tools and practices is required.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is preferred; equivalent practical experience is considered.

Nice to have

  • Familiarity with observability concepts and quality or monitoring signals used to inform testing.

Culture & Benefits

  • Enterprise-wide testing operates as a horizontal shared service for product, platform, and engineering teams.
  • Close collaboration with Software Engineering, Product, and DevOps teams.
  • Minimal to no travel.

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