Staff QA Engineer I
Core
Lead AI adoption and operationalization for QA workflows, designing agentic testing strategies using Model Context Protocol (MCP) to ensure product reliability for home service professionals.
Role type
Staff QA Engineer (AI/Agentic Testing)
Builds
AI-enhanced testing workflows, automated test generation pipelines, and validation strategies for a SaaS platform.
Domain
SaaS / Home Services / AI Engineering
Deliverable
production ML models | product features
Required skills
AI-assisted testing operationalization, Model Context Protocol (MCP) implementation, automated testing frameworks (Playwright, Cypress, TestNG, JUnit), CI/CD tools (Gitlab, CircleCI), bug tracking (JIRA, TestRail), root-cause analysis for AI workflows, test strategy design, mentorship
Preferred skills
Cross-functional AI knowledge sharing, building reusable AI operational assets (prompt libraries, validation checklists), strategic use of AI tools for team efficiency
Technologies
Maestro MCP, Playwright MCP, Gitlab, CircleCI, JIRA, TestRail, Playwright, Cypress, TestNG, JUnit
Responsibilities
Design and govern agentic testing workflows using MCP technologies; define standards for safe AI use in test pipelines; evaluate emerging AI testing technologies and lead root-cause analysis; partner with MLOps and Engineering to establish production quality baselines; mentor QA and engineering professionals in AI-assisted practices; communicate quality insights and technical risks to stakeholders
Seniority
Staff, hands-on IC with strategic influence