Description

Architect and drive quality engineering practices across BFS platforms.

Responsibilities

• Architect and implement full-stack automation frameworks for Web, Mobile, API, and Database applications.
• Drive risk-based testing, security, and performance validation for BFS platforms.
• Consult on compliance, regulatory requirements, and digital banking transformation for clients.
• Champion AI/ML-based quality engineering approaches, including predictive analytics and self-healing automation.
• Define and track metrics linking automation and AI-led solutions to client ROI.

Required Skills

• 15+ years in Software Testing, Test Automation, and Quality Engineering.
• 5+ years in leadership roles driving regional/global practices.
• 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.
• Strong background in technical consulting, solutioning, and assessments for large enterprise clients.
• Expertise in pre-sales, RFP responses, solution architecture, and business consulting.
• Strong understanding of Agile, DevOps, CI/CD, Cloud-native, and Microservices delivery models.
• BFS domain knowledge: core banking, payments, and fraud detection.

Key Skills

Education

Not specified