Yopeso

Quality Engineer

Vaga remota de Quality Engineer com fit claro de localização do candidato.

Publicada25 de jul. de 2026

Países elegíveis5 países aceitos

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

CanadáAlemanhaÍndiaReino UnidoEstados Unidos

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

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.

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.

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.

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.

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