Senior QA Engineer - AI Native and Agentic Systems

New
X
xponentiateHealth Tech
Remote across India, 4–8 hours of overlap to US PacificFull-TimeSenior
Salary not disclosed
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Job Details

Experience
3+ years in QA (manual + automation)
Required Skills
CypressQA AutomationAPI testingSeleniumCI/CDSaaSPlaywright

Requirements

  • 3+ years of professional experience in QA (manual + automation).
  • Strong understanding of SDLC, test strategies, and failure modes in complex SaaS systems.
  • Hands-on proficiency with UI automation tools such as Playwright, Cypress, or Selenium.
  • Proven experience with API testing and automation.
  • Demonstrated practical use of AI in QA, including autonomous testing and intelligent test orchestration.
  • Ability to articulate how AI systems decide and prioritize testing activities.
  • Strong technical foundation in system design and feedback loop architecture.
  • Strongly preferred: Experience designing QA frameworks or platforms.
  • Strongly preferred: Experience integrating QA into CI/CD pipelines.
  • Strongly preferred: Background in healthcare or regulated systems.

Responsibilities

  • Design and build autonomous, AI-driven QA systems that explore UI, APIs, and workflows without pre-defined scripts.
  • Integrate QA agents with development agents to provide real-time, actionable feedback loops.
  • Validate full-stack quality across web UI, backend services, and data integrity for end-to-end user journeys.
  • Develop systems for intelligent defect discovery, verification, and performance risk identification.
  • Build continuous, always-on QA engines that adapt to product evolution and increase coverage automatically.
  • Define release readiness and act as a gatekeeper by blocking releases with evidence of insufficient quality.
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