QA Automation Engineer

Tech3pillars Technologies

California (MO)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Job summary

Tech3pillars Technologies in San Jose, CA is seeking a QA Automation Engineer (SDET) with strong Python and Pytest skills to build scalable automation frameworks. The role focuses on UI automation with Playwright, API testing, and CI/CD pipeline integration.

The ideal candidate will have hands-on QA experience, knowledge of QA methodologies, and familiarity with Agile practices. Collaboration with Product, Dev, and DevOps teams is essential for successful releases and production validation.

Qualifications

  • Hands-on experience in UI automation with Playwright, API testing, and integrating tests into CI/CD pipelines.
  • Strong QA background with exposure to test strategies and QA processes.
  • Experience in AI testing and hands-on usage of AI MCPs.
  • Involves defining test strategy, executing regression/system/sanity testing, and performing release and production validation.
  • Understand QA methodologies, Agile practices, test data management, and collaborate with Product, Dev, and DevOps teams.

Responsibilities

  • Define test strategy and execute regression, system, and sanity testing.
  • Perform release and production validation.
  • Collaborate with Product, Dev, and DevOps teams on QA processes.

Skills

Python
Pytest
UI automation
CI/CD
QA methodologies
Agile practices
Test data management

Tools

Playwright
CI/CD tools

Job description

JD: QA Automation Engineer

Location: San Jose, CA

  • QA Automation Engineer (SDET Python) role focused on building and maintaining scalable automation frameworks with strong Python and Pytest framework.
  • Requires hands-on experience in UI automation with Playwright, Standalone API testing, and integrating tests into CI/CD pipelines.
  • Strong QA background with exposure to test strategies and QA processes
  • Experience in AI testing and hands on usage of AI MCPs. Good if they have MCPs
  • Involves defining test strategy, executing regression/system/sanity testing, and performing release and production validation.
  • Ideal candidate should understand QA methodologies, Agile practices, test data management, and collaborate effectively with Product, Dev, and DevOps teams.
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