Principal- Quality Engineering

Principal Quality Engineer

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As a Principal Quality Engineer, this role will serve as the technical leader and subject matter expert for Quality Engineering, Test Automation, and Agentic Testing across the enterprise. The position will define the technical vision, architecture, standards, and roadmap for next-generation quality platforms that leverage intelligent automation, Generative AI, observability, and autonomous testing capabilities to improve software quality, engineering productivity, and delivery speed.

The Principal Quality Engineer is responsible for designing and implementing enterprise-scale automation frameworks, AI-powered testing solutions, and quality intelligence platforms that enable teams to proactively predict, prevent, detect, and resolve quality issues throughout the Software Development Lifecycle (SDLC). This role will partner closely with Engineering, Product, Platform, Dev Ops, Security, and Data teams to ensure quality is embedded into every stage of software delivery.

As a technical leader, this individual will drive the adoption of Agentic Quality Engineering practices, including autonomous test generation, intelligent test execution, self-healing automation, defect prediction, and AI-assisted root cause analysis. The position will establish engineering standards, reference architectures, and governance frameworks that ensure quality solutions are scalable, maintainable, secure, and aligned with enterprise objectives.

The Principal Quality Engineer will continuously evaluate emerging technologies, AI capabilities, and industry best practices, leading innovation initiatives and influencing engineering roadmaps across the organization. This position is accountable for advancing enterprise automation maturity, improving quality outcomes, and enabling the transition from traditional test automation to autonomous quality engineering.

Quality Roadmap Definition:

• Define and lead the enterprise technical strategy, architecture, standards, and roadmap for Quality Engineering, Automation, and Agentic Testing capabilities

Scale Automation:

• Design and implement scalable automation frameworks and AI-powered quality platforms that improve software quality, engineering productivity, and delivery efficiency

AI-Driven Innovation:

• Drive the adoption of Agentic Quality Engineering practices, including autonomous test generation, intelligent test execution, self-healing automation, and AI-assisted defect analysis to improve efficiency, coverage, and delivery speed

Technical Execution and Governance:

• Establish governance, engineering standards, and best practices for automation, AI-enabled testing, quality intelligence, and continuous testing solutions

Cross-Functional Collaboration:

• Partner with Engineering, Product, Platform, Security, Dev Ops, and Data teams to embed quality, automation, and observability throughout the SDLC, defining modern quality gates with high standards for engineering excellence

High-Performance and Data-Driven:

• Leverage quality analytics, observability, production telemetry, and predictive models to identify risks, optimize testing strategies, leveraging quality metrics, AI effectiveness measures, operational KPIs, and customer outcomes to continuously improve software reliability and engineering efficiency

Strategic Leadership and Guidance:

• Lead innovation initiatives, evaluate emerging technologies, mentor engineering teams, and influence enterprise-wide quality transformation and automation maturity to build a state-of-the-art AI-enhanced quality engineering culture

What's needed to succeed (Minimum Qualifications):

• Bachelor's degree
• Computer Science, Engineering, Business Administration, or related field
• 5+ years of management experience in Quality Engineering or IT leadership related role
• 5+ years of experience implementing Test…