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4 дня назад

Senior Software Engineer in Test (QA Automation)

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

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TL;DR

Senior Software Engineer in Test (QA Automation): Designing and maintaining scalable automated test frameworks for software products with an accent on CI/CD integration and multi-layer testing. Focus on building robust automation scripts, optimizing test environments, and ensuring high-quality delivery through collaboration with development teams.

Location: Hybrid in Londrina, Brazil

Company

hirify.global provides connected vehicle platforms to improve the efficiency and safety of commercial fleets.

What you will do

  • Design, develop, and maintain scalable automated test frameworks and scripts using Python, Java, Kotlin, JS/TS, or Go.
  • Integrate and enhance test automation within the CI/CD pipeline for continuous testing.
  • Develop and execute automated tests across unit, integration, API, and UI layers.
  • Collaborate with software developers to improve testability and participate in code reviews.
  • Build and maintain efficient test environments and manage test data effectively.
  • Analyze test results and identify root causes of failures to implement permanent solutions.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 2-5 years of experience in software development and/or test automation.
  • Strong programming skills in at least one language (e.g., Python, Java, Go).
  • Proven experience with automation frameworks such as Selenium, Cypress, Playwright, JUnit, TestNG, or PyTest.
  • Experience with API testing tools (Postman, RestAssured) and CI/CD pipelines (Jenkins, GitHub Actions, CircleCI).
  • Solid understanding of software testing principles and the SDLC.

Nice to have

  • Experience with performance testing tools like K6 or JMeter.
  • Exposure to security testing concepts.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Experience using AI Tools in software development (Gemini, Windsurf, Claude, etc.).
  • Working experience in an agile development environment.

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