QA Architect (Automation, Performance & AI-Driven Testing)
Location: Hyderabad
Work Mode: Work from Office
Experience: 12+ Years
Role Overview
We are seeking a QA Architect to define, lead, and scale enterprise-wide Quality Engineering practices across Automation, Performance, and Security testing. This role goes beyond execution — you will own QA strategy, architecture, governance, and innovation, including AI-led and Agentic Automation initiatives.
The ideal candidate is a hands-on architect with strong leadership skills, capable of building future-ready QA platforms aligned with modern DevOps and cloud-native ecosystems.
Key Responsibilities
- Own and drive the organization-wide QA strategy covering Automation, Performance, and Security testing.
- Architect scalable, reusable, and maintainable test automation frameworks for:
o Web, API, Mobile, and Enterprise applications
- Lead automation tool selection, standardization, and governance.
- Design and execute performance engineering strategy (load, stress, spike, endurance).
- Establish security testing practices including DAST, SAST, API security, and OWASP compliance.
- Drive AI-led QA initiatives, including:
o AI-assisted test case generation
o Intelligent defect analysis and prediction
o Impact analysis and self-healing automation
o Agentic AI–based autonomous testing
- Embed testing deeply into CI/CD pipelines and DevOps workflows.
- Champion Shift-Left and Shift-Right testing practices.
- Define quality metrics, dashboards, and release readiness criteria.
- Mentor QA teams and build a Quality Engineering Center of Excellence (CoE).
- Collaborate with Engineering, DevOps, Product, and Leadership teams to ensure end-to-end product quality.
Must-Have Skills
- 12+ years of experience in Quality Engineering & Assurance
- Proven experience as a QA / Test Automation Architect
- Strong hands-on expertise in:
o Test Automation: Selenium, Playwright (with MCP – mandatory), Cypress, RestAssured
o Performance Testing: JMeter, Gatling, LoadRunner, k6
o Security Testing: OWASP Top 10, Burp Suite, DAST/SAST tools
- Expertise in test automation framework design from scratch
- Strong knowledge of CI/CD pipelines, DevOps practices, and release orchestration
- Experience with Cloud platforms (AWS / Azure / GCP)
- Hands-on exposure to Docker and Kubernetes
- Proficiency in one or more languages: Java / Python / JavaScript / C#
- Excellent technical leadership, mentoring, and stakeholder communication skills
AI & Modern QA Capabilities (Mandatory Exposure)
- Hands-on or architectural exposure to GenAI tools, such as:
o GitHub Copilot or equivalent
o AI-based test case generation tools
o Intelligent defect analytics and test optimization
- Understanding and practical application of:
o Agentic AI in test automation
o Self-healing and autonomous testing models
Good-to-Have
- Experience building or scaling a QA CoE
- Low-Code / No-Code automation platforms (e.g., TOSCA)
- Pre-sales, PoC, or automation ROI modeling experience
- Experience testing highly scalable or mission-critical systems
What We Offer
- High-impact architectural ownership and decision-making authority
- Opportunity to work on AI-first, next-generation QA platforms
- Strong influence on engineering and delivery excellence
- A leadership role shaping the future of Quality Engineering.
