Senior QA Engineer - AI-Driven Healthcare Automation (Remote)

Jobgether

United States

Hybride

USD 120 000 - 180 000

Plein temps

Il y a 1 heure
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Avantages offerts par ce poste

Remote flexibility
Healthcare benefits
Professional development
Career growth
Global collaboration
AI-driven tooling
Meaningful impact

Résumé du poste

Jobgether is seeking a Senior QA Engineer in the United States to lead a next-generation quality program for AI-powered healthcare software. You will architect testing infrastructure, implement scalable automation, and ensure secure, reliable clinical workflows with AI-driven validation.

Collaboration with engineers, product, and clinicians is essential. You will drive exploratory and AI-assisted testing, manage defects, and contribute to release readiness, performance baselines, and quality

Qualifications

  • Minimum 5 years QA or software testing, with 3+ years automating tests.
  • Strong fundamentals in testing methodologies and SDLC.
  • Proficient in TypeScript/JS; working Python knowledge required.
  • Experience building and maintaining automated test frameworks.

Responsabilités

  • Own QA strategy and release readiness across the software lifecycle.
  • Architect scalable automation frameworks for UI, APIs, and integrations.
  • Lead AI-assisted testing and integration with CI/CD pipelines.
  • Coordinate with engineers, product, and clinical experts on quality gates.

Connaissances

QA leadership
Automated testing
Playwright
TypeScript/JS
Python
CI/CD
Security testing
Performance testing

Formation

Bachelor's degree in CS

Outils

Playwright MCP
JMeter
Locust
Selenium

Description du poste

Jobgether is seeking a Senior QA Engineer in the United States to lead a next-generation quality program for AI-powered healthcare software. You will architect testing infrastructure, implement scalable automation, and ensure secure, reliable clinical workflows with AI-driven validation.

Collaboration with engineers, product, and clinicians is essential. You will drive exploratory and AI-assisted testing, manage defects, and contribute to release readiness, performance baselines, and quality

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