Quality Engineering Architect
Jul 2025 — PresentLiverpool · Retail
Design and implementation of an end-to-end testing architecture with automation frameworks built from scratch (Selenium, Cypress, Robot Framework) embedded into CI/CD pipelines. Performance testing architecture with JMeter, Locust and K6 to surface critical bottlenecks. Testing infrastructure as code with Terraform and Ansible for reproducible AWS environments. Quality monitoring ecosystems with metric dashboards and alerting. Leadership of QA transformation with Python and Bash tooling. End-to-end testing with Apache JMeter and IBM Rational Performance Tester. Source control with Git under agile methodologies and Continuous Testing.
ACHIEVEMENTS
- 45 % reduction in test execution time with 85 % automated coverage.
- 60 % improvement in application performance through a performance testing architecture.
- 70 % reduction in environment setup time with Testing as Code on AWS.
- 40 % reduction in defect detection time with Prometheus, Grafana and ELK monitoring.
- 50 % improvement in execution efficiency through QA transformation and automation.
- 30 % improvement in application SLAs with end-to-end performance testing.
- Testing architecture design
- Testing as Code (TaaC)
- Continuous Testing
- Automation framework design
- Performance testing strategy design
- Quality monitoring ecosystem design
- Quality metrics and KPIs
- Quality process transformation
- Multi-platform test architecture
- Selenium WebDriver
- Cypress
- Robot Framework
- Apache JMeter
- Locust
- K6
- IBM Rational Performance Tester
- Terraform
- Ansible
- AWS (EC2, Device Farm)
- Prometheus
- Grafana
- ELK Stack
- Kibana
- Python
- Bash
- Git