This is a remote position.

We are seeking a
Principal Quality Automation Architect
to define and lead enterprise-wide automation strategy across AI-driven applications, data platforms, and cloud environments. This role will be responsible for designing scalable, modern test automation frameworks that ensure the quality, reliability, and performance of solutions built across
AWS, Azure, Tableau, Power BI, and DealCloud CRM integrations
.

This is a highly strategic, hands-on leadership role focused on building
next-generation QA automation capabilities
, particularly for
AI/ML systems, data pipelines, and distributed cloud architectures
.

Key Responsibilities

• 
  Define and lead the
  enterprise test automation architecture and strategy
  across applications, data, and AI platforms
• 
  Design and implement
  scalable automation frameworks
  for UI, API, data, and AI/ML validation
• 
  Establish automation standards, tools, and best practices across
  AWS and Azure ecosystems
• 
  Architect automation solutions for
  data pipelines (ETL/ELT), data lakes, and analytics platforms
• 
  Build frameworks to validate outputs from
  AI/ML models
  , including accuracy, consistency, and regression testing
• 
  Integrate automated testing into
  CI/CD pipelines
  to enable continuous quality validation
• 
  Drive
  shift-left testing practices
  , embedding quality early in the development lifecycle
• 
  Oversee
  performance, load, and resilience testing strategies
  for high-scale applications
• 
  Partner with architecture, data, and engineering teams to ensure
  testability and observability
• 
  Provide technical leadership and mentorship to QA engineers and automation teams
• 
  Evaluate and implement modern tools for
  test automation, data validation, and AI testing

Requirements

Required Qualifications

• 
  10+ years of experience in
  Quality Engineering, Test Automation, or QA Architecture
• 
  Proven experience designing and implementing
  enterprise-level automation frameworks
• 
  Strong hands-on experience with
  automation tools
  (e.g., Selenium, Cypress, Playwright, or similar)
• 
  Experience with
  API testing frameworks
  and microservices architectures
• 
  Deep understanding of
  cloud platforms (AWS and/or Azure)
• 
  Strong experience validating
  data pipelines, ETL/ELT processes, and data platforms
• 
  Experience with
  CI/CD tools
  (e.g., Jenkins, GitHub Actions, Azure DevOps) and DevOps practices
• 
  Strong programming/scripting experience (e.g.,
  Python, Java, or JavaScript
  )
• 
  Expertise in
  SQL and data validation techniques

Key Traits for Success

• 
  Strategic thinker with the ability to
  design scalable QA ecosystems
• 
  Hands-on technical leader who can both
  architect and execute
• 
  Strong cross-functional collaboration skills
• 
  Passion for building
  modern, automation-first quality practices
• 
  Ability to operate in a
  greenfield AI environment