Automation Testing - SDET

We are seeking a QE Architect to lead Quality Intelligence initiatives for clients across domains & regions. This role demands expertise in full-stack automation, AI/ML and strategic consulting to deliver measurable business outcomes. 

• Architect and implement full-stack automation frameworks for applications (Web, Mobile, API, Database). 
• Drive risk-based testing, security, and performance validation for digital platforms. 
• Provide consulting on compliance, regulatory requirements, and digital transformation. 
• Participate in client consulting engagements and provide high-impact recommendations for quality transformation.
• Prepare solution approaches, proposals, and technical statements of work (SoW) tailored to client needs. 
• Design and architect full-stack automation frameworks covering Web, Mobile, API, Digital, and Database testing.
• Drive Test Data Management (TDM) strategies to ensure robust and scalable test environments. 
• Perform technical assessments, identify gaps, and recommend strategic improvements to client quality engineering practices. 
• Champion adoption of AI/ML-based quality engineering approaches, intelligent test design, predictive analytics, and self-healing automation. 
• Participate in client consulting engagements and provide high-impact recommendations for quality transformation.
• Prepare solution approaches, proposals, and technical statements of work (SoW) tailored to client needs. 
• Support new business pursuits, RFPs, RFIs, and proactive proposals with strong solution leadership. 
• Identify, nurture, and convert potential opportunities into revenue-generating engagements. 
• Collaborate with sales and account teams to position Quality Engineering as a business differentiator in client conversations. 
• Define and track metrics that link automation and AI-led quality solutions directly to client ROI and revenue outcomes. 
• Mentor, coach, and grow high-performing engineering teams across the region
• Foster a culture of innovation, continuous improvement, and cross-collaboration. 
• Partner with global practice leaders to ensure alignment and knowledge sharing across geographies. 

• 12+ years of experience in Software Testing, Test Automation, and Quality Engineering, with at least 5+ years in a leadership role driving regional or global practices. 
• Deep expertise in full-stack test automation: Web, API, Mobile/Digital, Database, and TDM solutions. 
• Strong exposure to AI/ML-based quality engineering practices – predictive analytics, autonomous AI for QE, self-healing automation, and intelligent test data management. 
• Experience in Multi-Agent Orchestration Systems across STLC, leveraging Agentic AI solutions, RAG (Retrieval-Augmented Generation), and LLMs for intelligent automation. 
• Ability to design and implement AI-driven workflows for user story refinement, test case generation, and automation script creation, ensuring measurable optimization and acceleration in QE processes. 
• Hands-on experience in setting up MCP (Model Context Protocol) servers to enable secure, scalable orchestration of AI agents across STLC phases, integrating context-aware prompts and multi-agent collaboration for QE automation. 
• Proven experience in technical consulting, solutioning, and assessments for large enterprise clients. 
• Strong background in pre-sales, RFPs, solution architecture, and business consulting. 
• Demonstrated ability to convert opportunities into revenue, aligning technical delivery with business outcomes.
• Excellent client-facing, stakeholder management, and communication skills with the ability to influence CXO-level discussions. 
• Strong understanding of modern delivery models (Agile, DevOps, CI/CD, Cloud-native, Microservices). 
• Experience in building Center of Excellence (CoE) and driving knowledge sharing, accelerators, and IP creation.