Principal Enterprise Architect - Quality Engineering

• Enterprise Quality Engineering Strategy: Define and drive the architectural vision for modern, scalable, AI-enabled Quality Engineering across complex technology ecosystems.
• AI-Driven Engineering & Automation: Integrate AI-assisted development, intelligent test generation, AI agents, and automated quality validation throughout the SDLC.
• Spec-Driven Design (SDD): Establish enterprise methodologies that align specifications, development, and deterministic validation for both human-written and AI-generated code.
• Enterprise Automation Architecture: Design modular, reusable, end-to-end automation frameworks spanning UI, APIs, middleware, Back End services, and mobile applications.
• Technical Governance & Engineering Excellence: Establish architecture standards, lead design reviews, evaluate automation technologies, and ensure maintainability, reliability, and compliance with engineering best practices.
• Strategic Stakeholder Leadership: Collaborate with business and technology executives to translate modernization objectives into actionable architecture roadmaps and measurable outcomes.
• Engineering Enablement: Mentor technical teams and establish consistent automation practices, tool integrations, and delivery standards across Agile, DevOps, and CI/CD environments.

We are looking for a seasoned architect who brings deep technical expertise, enterprise-level perspective, and a proven record of Quality Engineering transformation., * 15+ years of experience in enterprise test automation, automation architecture, and large-scale Quality Engineering transformation.

• Strong hands-on proficiency in Playwright and TypeScript, with experience in Spec-Driven Design (SDD), BDD, and Cucumber.
• Strong experience with .NET Core/.NET Framework applications and API automation using Rest Assured or RestSharp.
• Practical expertise with AI-assisted development tools such as GitHub Copilot, Claude, or Gemini, including reviewing, debugging, validating, and optimizing AI-generated automation code.
• Experience architecting enterprise automation frameworks across UI, API, backend, middleware, and mobile platforms.
• Expertise in Appium and cloud-based mobile testing platforms such as BrowserStack, Sauce Labs, or Perfecto.
• Strong understanding of Agile/Scrum, DevOps, CI/CD, and enterprise automation tool integration.

Financial Services Domain Expertise

• Strong experience across core banking, deposits, treasury, credit cards, transaction processing, and payments.
• Experience supporting large-scale modernization and digital transformation programs within complex enterprise environments., * Exposure to Applitools, Zephyr, Xray, AssertThat BDD, and service virtualization.
• Experience establishing enterprise-wide engineering standards, architectural governance, and reusable automation methodologies.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline.