FalconSmartIT
Senior Java Architect
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
London, UK
Work mode:
Onsite
Published on:
18 August 2026
What they need
Job Role**: Senior Java Architect**
Job Location**:** London, UK (4 days per week from office)
Job Type : Contract (6 months ) / Permanent
Role Summary
Senior Java Engineering Architect | Banking, Payments & AI Engineering
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
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