Lead QA Automation Engineer – AI Test Intelligence

About the Role :

We are looking for a passionate and experienced  Lead QA Automation Engineer  who can drive the vision of  AI-powered Quality Assurance  across our product suite. This role blends deep expertise in test automation frameworks with the ability to leverage  AI tools  (like ChatGPT, Testim, Mabl, Katalon, or custom LLM-based testing agents) to accelerate testing efficiency, improve test coverage, and reduce manual QA efforts.

You will lead a small but high-performing QA team and work closely with Product, Engineering, and DevOps to build a fully automated, self-healing test ecosystem that scales with our products. 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 :

5 to 7 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.