Lead QA Automation Engineer – AI Test Intelligence

6 - 10 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

About the Role:

Lead QA Automation Engineer

Key


Key Responsibilities:

  • Lead and Architect QA Automation Frameworks:

  • Design, implement, and maintain robust automation frameworks (Selenium, Playwright, Cypress, or Appium) integrated with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
  • AI-Powered Test Automation:

  • Integrate or build AI-driven testing solutions using tools like 

    Testim.io

    , Mabl, Functionize, TestSigma

    , or 

    custom AI agents using OpenAI / Vertex AI

     for:
  • Intelligent test case generation and prioritization
  • Auto-healing test scripts
  • Predictive defect detection
  • Automated exploratory testing
  • Data-Driven QA:

  • Leverage analytics, BigQuery, or Looker dashboards to derive insights on test effectiveness, flakiness, and coverage gaps.
  • Test Strategy & Planning:

  • Develop comprehensive test plans for new features and regression cycles. Implement best practices for test documentation, versioning, and reporting.
  • Team Leadership & Mentorship:

  • Lead a team of automation and manual QA engineers, define career growth plans, and conduct code and test reviews.
  • Collaboration:

  • Work closely with Product Managers and Developers to ensure quality gates are embedded early in the SDLC (Shift-Left Testing).
  • Continuous Improvement:

  • Research and introduce emerging AI/ML tools that improve test coverage, speed, and reliability.


Required Skills & Experience:

  • 6 to 10 years of total QA experience, with at least 

    3 years in QA automation leadership

    .
  • Strong command of 

    Selenium, Playwright, or Cypress

     for web; 

    Appium

     for mobile testing.
  • Proficiency in 

    Python / JavaScript / Java

     for writing test scripts.
  • Hands-on experience with 

    CI/CD pipelines

     and 

    Cloud infrastructure

     (GCP / AWS / Azure).
  • Exposure to 

    AI-based test automation tools

     (e.g., Testim, Mabl, Functionize, TestSigma, Applitools).
  • Understanding of 

    LLM-based tools or prompt-driven test automation

     (e.g., ChatGPT, Codium, GitHub Copilot).
  • Familiarity with 

    API testing

     (Postman, REST Assured, Karate) and 

    performance testing

     (JMeter, k6).
  • Strong knowledge of 

    SDLC

    Agile

    , and 

    DevOps QA practices

    .

Excellent analytical, problem-solving, and mentoring skills.

Benefits:

  • Opportunity to lead the 

    AI transformation of QA automation

     in a fast-growing SaaS company.
  • Exposure to 

    global projects

     across Singapore, US, and LATAM markets.
  • Flat hierarchy, flexible work culture, and access to top-tier AI tools.
  • Competitive compensation and performance-based growth.


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