Sr. Principal, Quality Engineering Architect
Tasks
- Build test harnesses and mock services
- Create data simulation frameworks
- Design AI enabled test automation frameworks
- Develop self healing adaptive automation
- Drive observability driven testing with logs metrics traces
- Embed AI quality gates in CI CD pipelines
- Establish automation coding standards
- Execute risk based testing using predictive analytics
- Implement AI agents for test generation and analysis
- Integrate AI and automation tools with enterprise ecosystems
- Lead test environment and release automation
- Mentor teams on AI quality engineering practices
- Provide performance scalability security resilience testing leadership
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | BDD | Behavior-Driven Development | Bias detection | CI/CD | Cypress | Data Generation | Data Management | Data Simulation | DevOps | Docker | GCP | Generative AI | Java | JavaScript | Kubernetes | LLM | Language Models | Large Language Models | Logs | MLOps | Machine Learning | Metrics | Microservices | Model Validation | Observability | Performance Evaluation | Playwright | Predictive Analytics | Python | REST Assured | Regression testing | Risk-Based Testing | Risk-based | Selenium | Synthetic data | TDD | Test Data | Test Data Management | Test automation | Test data generation | Test-Driven | Test-Driven Development | Traces
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