Senior QA Automation Engineer - AI-Driven Testing

New
H
HSIEHS Compliance, Workforce Development Solutions
United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
GraphQLAgileArtificial IntelligenceSCRUMAPI testingRegression testingRESTful APIsSaaSAzure DevOpsPlaywright

Requirements

  • 5+ years of QA / Software Quality Engineering experience
  • Strong hands-on experience building test automation frameworks (Playwright required)
  • Experience developing and scaling automated test suites for enterprise SaaS or cloud-based applications
  • Experience integrating automated tests into CI/CD pipelines (Azure DevOps preferred)
  • Experience extending AI usage into advanced QA workflows (e.g., large-scale test generation, optimization, intelligent test selection)
  • Hands-on experience using AI tools (e.g., Claude) in development or QA workflows
  • Experience testing web-based applications and APIs
  • Strong understanding of Regression testing strategies
  • Strong understanding of Test design and coverage
  • Strong understanding of Automation best practices
  • Ability to work cross-functionally with engineering, product, and DevOps teams
  • Experience with agent-based or model-assisted testing approaches (preferred)
  • Mentored or supported junior QA engineers (preferred)
  • Helped transition from manual or outsourced QA to automation-first teams (preferred)
  • Tested complex, highly integrated SaaS platforms (multi-service or multi-tenant) (preferred)
  • Built or expanded API automation frameworks (REST and/or GraphQL) (preferred)
  • Worked in Agile/Scrum environments (Scrum certification a plus) (preferred)

Responsibilities

  • Contribute and drive the adoption of an AI-driven QA approach across products and platforms
  • Design, build, and maintain enterprise-grade test automation using Playwright
  • Contribute to establishing an automation-first QA approach, including standards, governance, and reporting
  • Leverage AI tools (e.g., Claude) to generate and scale test cases
  • Support the development of standards for AI-assisted test generation, test data strategy, regression design, and observability
  • Help reduce reliance on manual and outsourced QA efforts
  • Execute and expand regression testing across multiple applications
  • Integrate automated testing into Azure DevOps CI/CD pipelines
  • Partner closely with engineering, product, and DevOps teams
  • Identify and prioritize high-value test scenarios for automation
  • Contribute to QA standards, best practices, and automation strategy
  • Help define and track quality and automation metrics (coverage, regression cycle time, defect escape rate, throughput)
  • Support knowledge sharing, documentation, and reuse of automation frameworks
  • Communicate progress, risks, and KPI trends to leadership
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