QE Architect

About NationMind LLC:

NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for QE Architect to join our growing team.

· Selenium, API Testing

· QET, SDET Technology, Selenium

· A Quality Engineering (QE) Architect is a high-level technical strategist who designs enterprise-wide testing frameworks| tools| and automation pipelines.

· They ensure software is robust| secure| and scalable by shifting testing left and establishing quality standards across the entire software development lifecycle (SDLC).

· Automation Strategy: Design scalable| reusable automation frameworks for UI| API| microservices| and backend testing.

· Pipeline Integration: Build quality gates (SAST/DAST/IAST) into continuous integration and continuous delivery (CI/CD) pipelines to enable continuous testing.

· System Observability: Partner with engineers to improve testability and utilize metrics| dashboards| and test analytics to measure release risk and system reliability.

· Test Data & Environments: Architect strategies for generating| protecting| and managing test data and ephemeral environments across cloud and on-premises platforms.

· Team Enablement: Mentor Quality Engineers and developers on coding| testing best practices| and new technology (such as Generative AI or Agentic testing workflows).

· Governance: Define defect lifecycle taxonomies| risk-based testing approaches| and cross-project compliance standards.

· Technical Proficiency: Hands-on coding experience in programming languages like Java or Python.

· Testing Tooling: Deep expertise in automation tools (e.g.| Selenium| Playwright| Cypress| Rest Assured) and CI/CD tools (e.g.| Jenkins| GitHub Actions).

· Emerging exposure to/or experience with Cloud (AWS, Azure, GCP), AI/ML augmented testing workflows and SRE practices.