Lead QA Architect - AI-Driven Test Automation

RapidCanvas

United States

Remote

USD 140,000 - 190,000

Full time

8 days ago

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Job summary

RapidCanvas seeks a senior QA Automation lead to champion end-to-end testing across web, APIs, backend services, and data workflows. You will guide quality engineering with AI-driven strategies, mentor engineers, and collaborate with product and DevOps teams.

You will implement scalable frameworks, integrate AI/ML testing methods, and deliver actionable dashboards to reduce release risk and improve reliability.

Qualifications

  • Eight or more years in QA or SDET roles, including leadership experience.
  • Hands-on programming experience in Python, Java, JavaScript, or TypeScript.

Responsibilities

  • Define automation strategy and build end-to-end frameworks for web apps, APIs, backend systems, and data workflows.
  • Apply AI-assisted methods like self-healing tests, test prioritization, flaky test detection, and test generation from requirements.
  • Use analytics and NLP to identify anomalies and surface patterns in system behavior.
  • Develop quality dashboards with predictive signals such as defect trends and release risk.
  • Optimize regression runs through impact analysis and explore generative tools for mock data and load scenarios.
  • Mentor engineers and embed testing earlier in development with AI-informed quality practices.

Skills

QA/SDET leadership
Python
Java
JavaScript
TypeScript
Selenium
Playwright
Cypress
Postman
RestAssured
AI/ML in testing
CI/CD
GitHub Actions
Jenkins
GitLab
Mentoring
Communication

Tools

Selenium
Playwright
Cypress
Postman
RestAssured
GitHub Actions
Jenkins
GitLab

Job description

RapidCanvas seeks a senior QA Automation lead to champion end-to-end testing across web, APIs, backend services, and data workflows. You will guide quality engineering with AI-driven strategies, mentor engineers, and collaborate with product and DevOps teams.

You will implement scalable frameworks, integrate AI/ML testing methods, and deliver actionable dashboards to reduce release risk and improve reliability.

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