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5 дней назад

QA Engineer (AI Testing)

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

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TL;DR
QA Engineer (AI Testing): Designing, executing, and documenting manual and automated tests for web, mobile, and API-based applications with an accent on test automation, CI/CD validation, and AI-enhanced testing. Focus on building regression, smoke, and basic performance coverage, investigating defects, and maintaining reliable test scripts.

Location: Onsite in Bengaluru, India, four days per week with the possibility of five days per week as required by the business.

Company

hirify.global provides an AI-powered, conversation-centric platform combining customer experience and team collaboration.

What you will do

  • Execute manual tests and help design automated test cases and frameworks for web, mobile, and API applications.
  • Use Selenium, Cypress, Playwright, and AI-enhanced testing tools for test coverage, visual testing, and intelligent test generation.
  • Run regression, smoke, and basic performance tests and support test execution in CI/CD pipelines.
  • Document results, report defects, assist with root cause investigation, and maintain existing test scripts.
  • Collaborate with Software Engineers, Product Managers, and DevOps to confirm product functionality and test coverage.
  • Build QA automation and testing methodology skills through mentorship and team learning.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 1–2 years of QA engineering experience; internships and academic testing projects are welcome.
  • Introductory scripting or programming knowledge in Python, JavaScript, or Java.
  • Basic understanding of CI/CD concepts and familiarity with API testing tools such as Postman or REST Assured.
  • Interest or experience in AI-powered QA tools, visual testing, test generation, security testing, and compliance concepts.
  • Willingness to learn cloud environments such as AWS, Azure, or GCP.

Culture & Benefits

  • Onsite collaboration focused on faster decisions, clear communication, and execution.
  • Medical insurance for employees and eligible family members.
  • Paid privilege, sick, casual, maternity, and paternity leave, plus paid holidays and a birthday day off.
  • Provident Fund, gratuity, group term life, and personal accident insurance.
  • Employee assistance, wellness initiatives, ongoing learning, and career development opportunities.

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