Company
Technology
Sr.Principal,QualityEngineeringArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Principal, Quality Engineering Architect. Skills: Quality Engineering, AI Architecture, Automation Frameworks. Lead architecture and design. Develop intelligent automation solutions”
Industry & Context.
Defect analysis
What They're Looking For.
Must Have
10+ years of experience, Bachelor’s degree in Computer Science
Nice to Have
MLOps concepts familiarity, AI system testing familiarity
What You'll Do.
Lead architecture and design
Develop intelligent automation solutions
Embed AI capabilities into CI/CD
Design advanced test infrastructure
Drive adoption of modern engineering practices
Provide technical leadership
Mentor engineering teams
Establish governance standards
Collaborate with stakeholders
Define test strategies
How You'll Work.
Team & Collaboration
Engineering teams; Product stakeholders
Full Job Description
## Accountabilities Lead the architecture and design of AI-driven quality engineering frameworks across UI, API, data, and microservices ecosystems, ensuring scalability, reusability, and enterprise readiness. Develop and implement intelligent automation solutions that reduce manual testing effort through AI agents for test generation, execution optimization, and defect analysis. Embed AI capabilities into CI/CD pipelines by defining smart quality gates, predictive testing models, and automated feedback loops. Design advanced test infrastructure including test harnesses, mock services, and synthetic data generation frameworks to support continuous validation. Drive adoption of modern engineering practices such as BDD, TDD, observability-driven testing, and risk-based quality strategies. Provide technical leadership across performance, security, scalability, and resilience testing within complex distributed systems. Mentor engineering teams and establish governance standards for automation frameworks, coding practices, and AI-enabled QA adoption. Collaborate with product and engineering stakeholders to define test strategies, improve testability, and align quality goals with delivery objectives. Requirements 10+ years of experience in software quality engineering with strong expertise in test automation architecture for enterprise-scale systems. Proven experience designing AI-powered or advanced automation frameworks using tools such as Playwright, Selenium, Cypress, and REST Assured. Strong programming skills in Python, Java, or JavaScript with the ability to build scalable automation and AI-driven testing solutions. Hands-on experience integrating AI/ML concepts such as generative AI for test case generation, defect analysis, and test data creation. Deep understanding of CI/CD pipelines, DevOps practices, and cloud-native environments (AWS, Azure, or GCP). Experience with observability tools, data-driven testing, and analytics-based quality decision-making. Familia
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