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QA Engineer Specialist - Remote

Posted Yesterday
QA
Contract
Worldwide
$30 - $45/hour

Overview

The QA Engineer Specialist will be responsible for ensuring the quality of software through both manual and automated testing. The role requires a strong background in quality assurance practices and methodologies.

In Short

  • 5+ years of experience in software and quality assurance.
  • Proficiency in project management tools like Jira.
  • Strong understanding of BDD and TDD methodologies.
  • Excellent communication skills for conveying technical information.
  • Expertise in manual and automated test frameworks.
  • Experience with automation tools like Selenium, Playwright, and Cypress.
  • Knowledge of cloud deployments and release management.
  • Experience with frontend and backend technologies.
  • Design and maintain comprehensive test plans and frameworks.
  • Identify and track bugs using Jira and observability tools.

Requirements

  • 5+ years in quality assurance.
  • Proficiency in Jira and Agile methodologies.
  • Experience with BDD and TDD.
  • Strong communication skills.
  • Expertise in testing frameworks and automation tools.
  • Understanding of cloud deployments.
  • Experience with React, Python frameworks, and data management systems.
  • Ability to design and execute test plans.
  • Experience in gap analysis and QA maturity initiatives.
  • Must operate as an independent consultant or contractor.

Benefits

  • Pay range of $30 to $45 per hour.
  • Flexible work environment.
  • Opportunity to work on diverse projects.
  • Independence in work and decision-making.
  • Work with a collaborative team.

I.A

Invisible Agency

Invisible Agency is a forward-thinking technology company focused on supporting the development and implementation of cutting-edge AI language models. The company is dedicated to enhancing the capabilities of artificial intelligence to assist in various fields, including medical diagnostics and scientific research. With a commitment to innovation, Invisible Agency aims to improve the efficiency and effectiveness of AI algorithms by ensuring they are well-trained and equipped with high-quality data. The team fosters a collaborative environment where employees can thrive and contribute to the evolution of AI technology.

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