Senior Quality Engineer, Applied AI
Seattle, Washington, United States
USD 191K-253K Senior-level Full Time
Tasks
- Contribute code infrastructure and tooling for delivery confidence
- Define reliability resiliency debugging and production standards
- Define validation approaches and release readiness criteria
- Design test strategies for AI enabled software
- Implement automated testing and verification workflows
- Lead quality and reliability in AI development pod
- Partner with software and AI engineers to identify failure modes
- Perform root cause analysis and drive continuous improvement
- Support launch readiness and production incident response
- Use observability and instrumentation for confidence building
Perks/Benefits
Skills/Tech-stack
API | Automated testing | CI/CD | Cause analysis | Cloud infrastructure | Debugging | Deterministic systems | Distributed Systems | End to End | End-to-End Testing | Incident Response | Infrastructure as Code | Instrumentation | Integration Testing | Non-deterministic systems | Observability | Performance Testing | Release Engineering | Reliability Engineering | Reliability testing | Root Cause Analysis | Root cause | Test strategy | Unit Testing | Validation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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