Lead QA Automation Engineer – AI Test Intelligence
3 days ago
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
, 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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