Staff QA Engineer
New
J
JobgetherSoftware Quality Assurance
BrazilFull-TimeStaff
SalaryCompensation starting at $6,400 USD per month.
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years
- Required Skills
- CypressJiraTestRailCI/CDQuality AssurancePlaywright
Requirements
- 8+ years of experience in Quality Assurance Engineering, with strong experience across both manual and automated testing.
- Proficiency with automated testing frameworks such as Playwright, Cypress, TestNG, or JUnit.
- Experience with CI/CD tools such as GitLab or CircleCI.
- Demonstrated experience operationalizing AI-assisted and agentic testing workflows at team or organizational level.
- Hands-on experience with AI-assisted testing and MCP-based test generation or execution (e.g., Maestro MCP, Playwright MCP).
- Strong judgment regarding AI-generated testing output and validation requirements.
- Experience with bug tracking and test management tools such as Jira and TestRail.
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
- Proven ability to improve team efficiency through strategic use of AI and automation.
- Strong analytical, problem-solving, and root-cause analysis skills.
- Excellent written and verbal communication skills.
- Ability to work effectively in a fast-paced, collaborative environment.
Responsibilities
- Lead the adoption and operationalization of AI across quality assurance teams, designing AI-enhanced testing workflows and measuring their impact.
- Define standards for safe and reliable AI usage within test pipelines, regression systems, and validation workflows.
- Design and govern agentic testing workflows using Model Context Protocol (MCP) technologies such as Maestro MCP and Playwright MCP.
- Evaluate emerging AI and agentic testing technologies and lead root-cause analysis for quality issues.
- Partner with MLOps, Platform, Product, and Engineering teams to establish evaluation standards and scalable validation strategies.
- Design advanced test strategies and machine-readable test cases that enable AI-assisted test generation.
- Establish and continuously improve QA methodologies and automation frameworks across Engineering.
- Collaborate with Product and Engineering leaders to identify quality risks and ensure comprehensive coverage.
- Mentor QA and engineering professionals in advanced testing and AI-assisted quality practices.
- Communicate testing outcomes, quality insights, and technical recommendations to cross-functional stakeholders.
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