Sr Software Quality Engineer (Exp w/ AI Techniques)
Tasks
- Analyze performance bottlenecks with observability and APM
- Architect and maintain automation frameworks for API backend and system testing
- Build automated quality signals from tests telemetry logs metrics
- Collaborate with architecture and DevOps to improve reliability
- Contribute to SAFe Agile Release Trains in a senior technical role
- Create automation reporting and dashboards
- Define automation and quality enablers in backlog refinement
- Design AI driven quality automation solutions
- Develop reusable test utilities and data orchestration tools
- Embed automation performance and quality objectives into PI planning
- Establish performance baselines and validate SLAs SLOs
- Execute performance load and stress testing strategies
- Generate ML LLM assisted test cases
- Implement shift left and shift right quality strategies
- Integrate automation into CI CD pipelines with quality gates
- Lead root cause analysis for quality performance and reliability issues
- Mentor engineers on automation best practices and quality engineering principles
- Perform production performance validation with telemetry feedback loops
- Select prioritize and optimize regression tests
Perks/Benefits
- Charitable giveback day
- Community service projects
- Medical/Dental/Vision insurance
- Paid time off
- Retirement benefits
- Social events
Skills/Tech-stack
API Testing | APM | Agile | Azure | Azure DevOps | C# | CI/CD | Cause analysis | Distributed Systems | Docker | GitHub Actions | Infrastructure as Code | Java | JavaScript | Jenkins | Kubernetes | Language Models | Large Language Models | Load Testing | Logs | Machine Learning | Metrics | Microservices | Observability | Performance Testing | Python | Regression testing | Root Cause Analysis | Root cause | SAFe | Stress Testing | Telemetry | Test Selection | Test automation | Traces | TypeScript | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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