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Job Summary


Job Type
Permanent

Seniority
Junior

Years of Experience
At least 1 year

Tech Stacks
Rest API
HTTP
API
Analytics
TestRail
Git
Linux
Python

Job Description


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We are looking for a Manual Quality Assurance Engineer to join our team in Singapore office. The QA Engineer will work as a part of growing RnD team working on integration projects for the flagship company’s product: Acronis Cyber Cloud. We have dozens of different projects, which allows us to work on a variety of tasks and constantly replenish our knowledge with new technologies. We are looking for a highly motivated person with strong desire to learn and dig deep and who is just as excited about innovation, technology and quality as we are.

Responsibilities

  • Understand and analyze product requirements and communicate with product management teams
  • Develop test design of user scenarios, test cases and checklists
  • Prepare test environments
  • Execution of manual functional testing of web/desktop/mobile
  • Reporting and processing defects
  • Collect comprehensive and relevant data for problem investigation
  • Prepare test analytics for automation scenarios, interact with automation team
  • Analyze customers’ issues and investigate their root causes
  • Participate in technical discussions with RnD teams
  • Тake part in planning sprints and whole releases
Skills & Experience

  • 1+ years of experience as a QA Engineer
  • Good knowledge of Quality Assurance theory: principles, methodologies and techniques
  • Experience with HTTP / Web services / REST API
  • Proficiency in both Linux and Windows operating systems with knowledge in installing, configuring and troubleshooting
  • Familiar with Virtualization systems
  • Strong analytical and problem solving skills
Would Be a Plus

  • Knowledge of basic programming/scripting principles would be an additional advantage (Python is preferable)
  • Experience with Jira, TestRail, Git
  • Understanding of basic concepts of computer architecture, data structure and IT security
  • Using container-based virtualization

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