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Yopeso

Quality Engineer

Yopeso

Quality Engineer in Yopeso's Quality Engineering team ensuring software quality through test strategies and collaboration. Engaging with developers and managers to validate features and lead testing efforts.

Posted 7/24/2026full-timeRemote • 🇲🇾 MalaysiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in test execution and strategy, with a strong focus on functional, regression, and integration testing. Proficient in utilizing AI tools for test automation and maintaining quality practices within Agile environments.

Highest-signal resume keywords
Test Execution & StrategyFunctional TestingAutomation ScriptingAgile MethodologiesAI Tools Utilization

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software TestingQuality AssuranceTest AutomationScripting LanguagesTest Case DevelopmentDefect TrackingSDLC UnderstandingRegression TestingIntegration TestingTest Data Management
Soft Skills
Strong Communication SkillsIndependent WorkTask PrioritizationMentoring
Tools & Technologies
JiraGitHub CopilotXrayTestRailAI Test Generators
Industry Keywords
AgileScrumKanbanQuality PracticesTesting Methodologies

Tech Stack

Tools & technologies
JavaJavaScriptPythonSDLCTypeScript

About the role

Key responsibilities & impact
  • Test Execution & Strategy Design and execute test plans across Web, API, and/or Data components, proactively identifying coverage gaps.
  • Perform functional, regression, and integration testing.
  • Identify, document, and track defects in Jira with clear reproduction steps, root-cause context, and impact analysis.
  • Create and maintain test data and environments needed for execution.
  • Troubleshoot and investigate issues independently - reproducing defects, gathering logs, and validating fixes.
  • Build and maintain test scripts and automation, contributing to frameworks and team standards.
  • Collaborate & Ownership Communicate testing progress, risks, and issues clearly to both technical and non-technical stakeholders.
  • Own assigned testing areas and drive tasks to completion with minimal oversight.
  • Collaborate cross-functionally to resolve ambiguity and unblock issues.
  • Mentor junior QE team members as needed.
  • Quality Practices & AI Tools Apply and help refine QE standards and processes (test case structure, defect reporting, regression workflows).
  • Contribute to SDLC quality practices and participate in Agile/Scrum ceremonies (sprint planning, backlog refinement, retros).
  • Use AI tools (e.g., GitHub Copilot) to write and improve test automation scripts and snippets.
  • Leverage AI tools to generate and refine test case ideas from requirements or user stories.
  • Use AI-enhanced search across bug tracking and documentation systems to speed up investigation and reduce duplicate work.

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 3–5 years of relevant experience in software testing, quality assurance, or a related technical role.
  • Solid understanding of SDLC and testing methodologies (functional, regression, integration testing).
  • Working knowledge of testing concepts and terminology (test cases, test data, defects, severity/priority).
  • Hands-on experience with bug tracking systems (e.g., Jira).
  • Strong verbal and written communication skills, including with non-technical stakeholders.
  • Demonstrated ability to work independently, prioritize tasks, and take ownership of deliverables.
  • Comfort using GenAI tools (e.g., GitHub Copilot, Gemini, AI test generators) to support scripting, test design, and information discovery.
  • Practical experience with scripting/programming languages (e.g., Python, JavaScript, TypeScript, Java) for test automation.
  • Experience working in Agile environments (Scrum or Kanban).
  • Experience with test management tools (e.g., Xray, TestRail).
  • Track record of using AI-powered tools professionally to improve testing efficiency or coverage.

Benefits

Comp & perks
  • Professional development opportunities