Staff Engineer I Payments Domain Expert | Ai and Java

DVT is partnering with a leading global client in the banking and fintech space to find a Staff Engineer – Payments Domain Expert . This is a high-impact, senior technical leadership role where you’ll operate as the trusted authority within a complex and evolving payments domain. You will shape architecture, solve critical system challenges, and influence engineering direction across multiple teams building next-generation payment platforms. What You’ll Do: As a Staff Engineer in the Payments domain, you will: Act as the technical authority across a broad payments ecosystem Lead architecture design for scalable, secure, multi-service platforms Step into complex technical challenges and drive solutions across teams Provide technical leadership on large, strategic initiatives Develop core platform components and system foundations Drive engineering excellence and delivery outcomes Mentor senior engineers and grow technical capability across teams Serve as a key decision-maker in design reviews and technical strategy Payments Domain Expertise You bring deep, hands-on experience in: Payment rails and processing across global markets (EU, US, APAC) Transaction lifecycle (authorisation, clearing, settlement) Payment systems such as: Switching platforms (e.g., BASE24, Postilion or similar) Real-time payment systems Standards & protocols: ISO20022, ISO8583, EMV, PCI-DSS Merchant acquiring, payment orchestration, and integrations Regulatory and compliance requirements within banking/payments Technical Expertise You are a strong, modern engineer with: Deep expertise in: Distributed systems, microservices, event-driven architecture Strong engineering principles: Clean Code, SOLID, design patterns Experience with: Domain-Driven Design (DDD) CI/CD, DevOps, Infrastructure as Code Proficiency in Java backend technologies Experience working in high-availability, mission-critical systems AI-Native Engineering You have exposure to or interest in: AI-assisted development and automation tools Engineering governance for AI-driven systems Validating and reviewing AI-generated outputs Using AI to accelerate delivery while maintaining engineering quality