Summary
✨ AI‑Generated
An experienced Java engineering architect is sought to lead enterprise-scale banking and payments architecture. You will design high-volume payment systems, event-driven and messaging architectures, cloud-native platforms, and AI-assisted engineering practices. The role includes technology roadmap ownership, team mentorship, and engagement with senior stakeholders.
Highlights
Lead the architecture and delivery of enterprise-scale banking and payment platforms while shaping technology roadmaps and mentoring engineering teams. The role combines deep financial systems expertise with cloud-native, event-driven, and AI-assisted engineering.
Description
Role Summary
Seeking an experienced Java Engineering Architect to lead the design and delivery of enterprise-scale banking and payments platforms.
The role requires deep expertise in payments, banking operations, messaging architectures, cloud-native platforms, AI-driven engineering, and enterprise solution architecture.
Key Responsibilities
Architect high-volume payment platforms covering real-time payments, SWIFT, ISO 20022, settlement, reconciliation, and compliance.Design event-driven and messaging architectures using Kafka, NATS, and microservices.Drive AI-led software engineering using tools such as GitHub Copilot, Claude Code, Cursor, and LLM-based development frameworks.Lead cloud-native platform design using Kubernetes, Docker, and modern DevOps practices.Manage and mentor engineering teams, define technology roadmaps, and engage with senior stakeholders.Required Skills & Experience
Min 15+ years in software engineering, including 8+ years in Architecture or Led Engineering roles.Strong experience delivering banking and payment solutions.Expert in Java, Spring Boot, Spring Cloud, and Microservices.Deep knowledge of Kafka, NATS, event streaming, API architecture, and integration patterns.Hands-on expertise with Oracle, PostgreSQL, data modelling, performance tuning, and high-availability systems.Excellent stakeholder management, leadership, and communication skills.
Preferred Qualifications
Banking or Financial Services background.Experience leading large-scale transformation and modernization programs.TOGAF, Kubernetes, Cloud, or Architecture certifications.Experience building AI-enabled engineering organizations and integrating GenAI/LLM solutions into enterprise platforms
