Mid-Level Quality Engineer
Inactive
V
Very Good VenturesSoftware consultancy
Location: Remote (LatAm)ContractMiddle
This job is no longer active. We keep the page for reference, but the employer may not accept new applications.
Job Details
- Languages
- Excellent verbal and written communication skills in English
- Experience
- At least 3 years of experience as Quality Engineer.
- Required Skills
- API testingRegression testingCI/CD
Requirements
- At least 3 years of experience as a Quality Engineer.
- Strong hands-on knowledge of functional testing, including test case design, test execution, defect reporting, and regression testing.
- Experience planning and operating independently.
- Experience with testing tools, including bug tracking and test case management systems.
- Familiarity with UI and API automated testing frameworks.
- Hands-on experience building and maintaining mobile UI automation for iOS and Android.
- Experience integrating automated test suites into CI/CD pipelines, including test reporting and failure analysis.
- Practical experience using AI assistants and agents in QA, including creating or customizing skills, prompts, or MCP-based workflows.
- Ability to validate AI-generated results.
- Excellent verbal and written communication skills in English.
Responsibilities
- Conduct functional testing to verify that software applications meet requirements.
- Create and maintain test cases, test plans, test data, and testing documentation.
- Execute tests across platforms and devices, including UI or API automated tests, and communicate results to stakeholders.
- Plan testing for releases, environments, and features, including test data definition.
- Identify, document, prioritize, and track defects; investigate root causes and verify fixes.
- Perform regression testing to check that fixes and new changes do not introduce defects.
- Design, develop, and maintain mobile UI automation for iOS and Android, and integrate test suites into CI/CD pipelines.
- Monitor automation results, triage failures, and reduce test flakiness.
- Use AI tools to assist with test design, test generation, automation scripting, and defect analysis; maintain and share reusable AI skills and workflows.
- Collaborate with developers, product managers, clients, and cross-functional teams, and share testing practices and lessons learned.