Senior QA Engineer (Automation | Performance Testing | AI-Assisted QA)

Vertisystem Inc.
Menlo Park, CA, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Testing (Software) JavaScript (Programming Language) Artificial Intelligence Automation of Tests Continuous Integration Software Debugging Python (Programming Language) E2e Testing Standard Sql Strategies of Testing Performance Testing

Job description

We’re looking for a Senior QA Engineer who can own end-to-end testing, work independently, and collaborate with engineering teams to deliver high-quality software. This is a hands-on role requiring strong automation, performance testing, and debugging skills in a fast-paced product environment., * Design, execute, and maintain manual & automated test cases.

  • Develop test plans, test strategies, and QA documentation.
  • Perform benchmarking, performance, regression, and release testing.
  • Reproduce, analyze, and track defects through resolution.
  • Create QA dashboards and monitor quality metrics.
  • Collaborate closely with Engineering, Product, and Design teams.
  • Review application code to improve testing effectiveness.
  • Leverage AI tools to accelerate testing, debugging, and defect analysis.
  • Coordinate testing activities across distributed teams.

Requirements

? 7+ years of Software QA experience

? Strong Automation Testing background

? Ability to read and understand application code

? Performance / Benchmarking Testing experience

? Experience using AI tools/agents in QA workflows

? Python, JavaScript, and SQL knowledge

? Excellent debugging and analytical skills

Preferred Skills

  • Experience testing large-scale consumer or social media applications
  • Dashboard creation and QA metrics reporting
  • CI/CD and modern automation frameworks
  • Experience working with offshore teams, This role is best suited for candidates with a strong technical QA background who are comfortable with automation, code reading, performance testing, and AI-assisted testing. Candidates with only manual QA experience or limited technical expertise are unlikely to be considered.

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