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.