QA Lead (Automation + Strong Coding + AI + Cloud)
About This Role
QA Lead (Automation + Strong Coding + AI + Cloud)
Experience: 7+ Year
Industry: Fintech / Mobility / SaaS
Role Overview
We are hiring a QA Lead who is a strong programmer first, tester second.
This is not a manual testing coordination role.
We expect:
- Strong hands-on coding expertise
- Automation framework architecture capability
- AI-assisted automation practices
- Cloud-native testing exposure
- CI/CD-integrated validation
You should be capable of writing production-grade automation code and designing scalable test architecture.
Core Responsibilities
Strong Coding & Framework Engineering (Critical)
Must have strong programming expertise in at least one:
- Java
- JavaScript / TypeScript
- Python
Responsibilities include:
- Design automation framework from scratch
- Build reusable test libraries
- Implement clean coding standards in automation
- Apply OOP principles in automation architecture
- Write modular, maintainable test code
- Implement error-handling strategies
- Create utility functions & helpers
- Review automation code for quality
Expected skills:
- OOP & design patterns
- REST API handling
- JSON parsing
- Data-driven testing frameworks
- Test data management scripting
- Logging framework integration
- Git version control mastery
2️ Automation Engineering
Hands-on experience with:
- Selenium / Cypress / Playwright
- REST API automation (RestAssured / Postman automation)
- Mobile automation (Appium)
- BDD frameworks (Cucumber preferred)
- Unit testing frameworks (JUnit / Jest / Mocha)
Responsibilities:
- Achieve high automation coverage
- Parallel execution setup
- Build scalable regression suite
- Reduce flaky tests
- Implement reporting dashboards
3️ AI-Driven QA Engineering
Must demonstrate practical use of AI tools:
- AI-assisted test case generation
- AI-generated test data
- Self-healing locators
- Using tools like Copilot / Claude / Cursor for code generation
- AI-driven log analysis
- AI-based regression prioritization
Expectation:
Use AI as productivity multiplier, not dependency.
4️ Cloud-Native Application Testing
Strong understanding of cloud fundamentals:
- VM-based deployments
- Containerized apps (Docker)
- Kubernetes basics
- Microservices testing
- API gateway validation
- Environment configuration testing
- Load testing in distributed systems
Should understand:
- How cloud scaling impacts performance
- Auto-scaling validation
- Failover testing
- Deployment verification
5️ CI/CD & DevOps Integration
- Integrate automation into pipelines
- Write scripts for pipeline triggers
- Validate builds automatically
- Debug pipeline failures
- Work closely with DevOps teams
Exposure to:
- GitHub Actions / GitLab CI / Jenkins
- Docker basics
- Pipeline debugging
6️ Performance & Reliability Engineering
- Load testing using JMeter
- Concurrency validation
- Memory leak identification
- API stress testing
- Latency benchmarking
7️ Leadership & Governance
- Mentor QA engineers
- Conduct code reviews
- Define QA standards
- Improve test architecture maturity
- Implement defect root cause analysis
Required Skill Set (Detailed)
Mandatory
✔ 7+ years QA experience
✔ 3+ years automation framework design
✔ Strong coding ability (Java / JS / Python)
✔ Deep understanding of OOP & design patterns
✔ REST API automation
✔ CI/CD integration
✔ Cloud fundamentals understanding
✔ AI-assisted automation usage
Preferred
✔ Fintech or high-transaction platform exposure
✔ Microservices architecture testing
✔ Kubernetes exposure
✔ Performance engineering experience
Success Metrics
- 80% automation coverage
- Reduced regression execution time
- Minimal flaky test cases
- High-quality automation codebase
- Stable cloud deployment validation
- Faster release cycles
- Measurable AI productivity gains
Ideal Candidate
- Writes automation like production code
- Comfortable debugging backend issues
- Understands system architecture
- Uses AI tools intelligently
- Thinks about scalability
- Strong logical and analytical thinker
Why Join Us?
- Work on real-time, scalable platforms
- Build AI-ready data systems
- Exposure to cloud-native architecture
- Opportunity to grow into Database Architect role
Apply Now – Send your CV and portfolio to talent@self-drive.ae
About the Company:
Welcome to the Future of Personal Mobility at Self Drive.
A Mobility Tech Platform Established in 2016 in the Middle East with its Head Quarters in DUBAI and a team of over 140+ employees that operates across 10 countries around the world.
Self Drive Mobility is backed by car manufacturers, dealers and the top leasing companies with managing assets worth over USD 1 Billion on its platform making it the fastest-growing Mobility Tech Company in the GCC Region.
Self Drive Mobility operates across UAE, Oman, Qatar, Bahrain, Kuwait, Saudi Arabia, Turkey, Ireland, Scotland, United Kingdom and India with an fleet of over 25000+ units offering Daily | Weekly | Monthly car subscription rentals & Digital Leasing Solutions targeting D2C & B2B Clients.
The company achieved a milestone by serving 1.5 million customers & reached 3 Million days of reservation & is currently the largest mobility platform across in the Middle East.
Workplace Type:
Onsite
Application Open:
Apply only if you can join us immediately or serving notice period.
Salary:
AED8,000- AED10,000
Location:
B3, Office number 406, Dubai Commercity, Umm ramool, Al Rashidiya, Dubai, UAE.
Job Types: Full-time, Permanent
Job Types: Full-time, Permanent
Pay: AED8,000.00 - AED10,000.00 per month
Work Location: In person
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