Automation Testing - SDET

About the position We are seeking a QE Architect – BFS to lead Quality Engineering initiatives for Banking and Financial Services clients. This role demands expertise in BFS domain testing, full-stack automation, and strategic consulting to deliver measurable business outcomes. Responsibilities • Architect and implement full-stack automation frameworks for BFS applications (Web, Mobile, API, Database). • Drive risk-based testing, security, and performance validation for BFS platforms. • Provide consulting on compliance, regulatory requirements, and digital banking transformation. • Participate in client consulting engagements and deliver high-impact recommendations for quality transformation. • Prepare solution approaches, proposals, and technical statements of work (SoW) tailored to client needs. • Champion AI/ML-based quality engineering approaches: predictive analytics, intelligent test design, and self-healing automation. • Drive Test Data Management (TDM) strategies for robust and scalable test environments. • Support new business pursuits, RFPs, RFIs, and proactive proposals with strong solution leadership. • Collaborate with sales and account teams to position Quality Engineering as a business differentiator. • Define and track metrics linking automation and AI-led solutions to client ROI and revenue outcomes. • Mentor and coach high-performing engineering teams across the US region. • Foster a culture of innovation, continuous improvement, and cross-collaboration. • Partner with global practice leaders to ensure alignment and knowledge sharing across geographies. Requirements • 15+ years in Software Testing, Test Automation, and Quality Engineering, with 5+ years in leadership roles driving regional/global practices. • Strong BFS domain knowledge: core banking, payments, fraud detection. • Deep expertise in full-stack test automation: Web, API, Mobile/Digital, Database, and TDM solutions. • Proven exposure to AI/ML-based QE practices: predictive analytics, autonomous AI for QE, self-healing automation. • Experience in Multi-Agent Orchestration Systems across STLC, leveraging Agentic AI, RAG, and LLMs for intelligent automation. • Ability to design AI-driven workflows for user story refinement, test case generation, and automation script creation. • Hands-on experience in setting up MCP (Model Context Protocol) servers for secure orchestration of AI agents across STLC phases. • Strong background in technical consulting, solutioning, and assessments for large enterprise clients. • Expertise in pre-sales, RFPs, solution architecture, and business consulting. • Excellent client-facing and stakeholder management skills, with ability to influence CXO-level discussions. • Strong understanding of Agile, DevOps, CI/CD, Cloud-native, and Microservices delivery models. • Experience in building Centers of Excellence (CoE) and driving knowledge sharing, accelerators, and IP creation. Apply tot his job Apply To this Job