Resumo da vaga

Senior QA Engineer- AI Native and Agentic Systems- Zenara Health

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

This Is Not a Traditional QA Role

  • Tests complex SaaS products end-to-end
  • Discovers bugs autonomously (without hand-written test cases)
  • Simulates how a new human QA engineer would deeply explore the product

• Runs continuously (ideally 24× 7)

  • Integrates directly into agentic development loops

Design AI-based systems that:

  • Explore UI, APIs, workflows, and edge cases without pre-defined scripts
  • Generate and execute tests dynamically from product behavior
  • Discover bugs through exploration, not just assertions
  • Move beyond static automation into self-directed testing systems

Build QA agents that:

  • Continuously test features as development agents build them
  • Provide structured, actionable feedback in real time
  • Loop with development agents until quality thresholds are met
  • Own the QA feedback loop as a first-class system, not a manual process

• End-to-end user journeys

  • Ensure the system works as a cohesive product, not just isolated components

• Adapt as the product evolves

  • Increase coverage automatically over time

• Define what “release-ready” means

  • Block releases when quality is insufficient — with evidence
  • Raise risks early, clearly, and decisively

• Bugs are found before humans see them

  • QA coverage grows without linear human effort
  • Development speed increases because QA is faster
  • QA agents actively challenge dev agents
  • Releases feel boring — because nothing breaks

• AI-driven exploration

  • Replacing manual effort with intelligence
  • Designing feedback loops, not just test suites

You’re uncomfortable with:

  • Manually writing hundreds of brittle test cases

Required Experience

  • 3+ years in QA (manual + automation) — foundation matters

Hands-on experience with:

  • UI automation (Playwright / Cypress / Selenium)
  • API testing Demonstrated use of AI in QA beyond basic test generation
  • Autonomous testing • AI-assisted exploratory testing

• Intelligent test orchestration

  • Ability to explain how AI systems decide what to test next

Strongly Preferred:

  • Experience designing QA frameworks or platforms
  • Experience integrating QA into CI/CD at a system level
  • Performance / reliability testing • Healthcare or regulated systems experience
  • Prior work where QA influenced architecture decision
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