QA Architect

QA Architect – Enterprise Quality Engineering-Focus: Enterprise Quality Engineering (QE) CoE

Location: Holmdel, NJ OR Bethlehem, PA – Onsite

Experience: 15+ Years

Work Mode: Onshore

Focus: Enterprise Quality Engineering (QE) CoE

Role Overview

Seeking a QA Architect to provide onshore technical leadership for an enterprise Quality Engineering Center of Excellence (QE CoE) . The role will define QA architecture, automation standards, governance, frameworks, and reusable solutions across multiple application portfolios.

The ideal candidate should have experience leading 20+ QA resources and strong expertise in test automation, TDM, performance engineering, accessibility testing, CI/CD, and modern QE practices.

Mandatory Skills

• 15+ years of QA / Quality Engineering experience
• Enterprise QA / QE Architecture
• Leadership experience managing 20+ QA resources
• Test Automation Framework Architecture
• UFT, Selenium, or Playwright
• Automation Framework Design, Implementation & Scaling
• QA Governance, Standards & Strategy
• CI/CD & Continuous Testing
• API Testing
• Cloud & Database Testing

Preferred Skills

• Test Data Management (TDM) Data Masking
• Data Subsetting
• Synthetic Data Generation
• TDM Tools
• GenAI for QA AI-assisted Test Generation
• Test Optimization
• Defect Prediction
• AI Validation
• Performance Engineering Load, Stress & Endurance Testing
• JMeter, LoadRunner, NeoLoad
• Accessibility Testing WCAG 2.1 / 2.2
• Accessibility Testing Tools
• Remediation Guidance

Key Responsibilities

• Define enterprise QE architecture, standards, tools, frameworks, and roadmaps .
• Lead QA strategy and governance across application portfolios.
• Design, implement, and scale reusable test automation frameworks .
• Govern automation, TDM, performance, and accessibility testing solutions.
• Review technical designs, automation frameworks, integrations, and CI/CD enablement.
• Drive shift-left testing, continuous testing, quality gates, and reusable QA accelerators .
• Partner with Enterprise Architects, application teams, vendors, and senior leadership.
• Track technical risks, QA maturity, automation adoption, and measurable quality outcomes.
• Lead and mentor large QA teams and drive enterprise QE CoE initiatives.
• Evaluate emerging technologies, including GenAI for Quality Engineering .