Senior Java Architect Job Central London area,City Of London England UK,Software Development

Location: City Of London

Senior Java Engineering Architect - Banking, Payments & AI-Driven Engineering

London / (4 days/week from office; 1 day/week from home)

Contract or Perm

£120

Kpa or £500pd (Inside IR35)

Role Summary

We are seeking a highly experienced Java Engineering Architect to lead the architecture, design, and delivery of next-generation Banking and Payment platforms. The ideal candidate will have deep expertise in payment engines, banking operations, messaging architecture, integration patterns, cloud-native engineering, and AI-driven software delivery.

This role requires a strong technology leader who can define enterprise architecture, drive engineering excellence, lead large backend engineering teams, and leverage AI-powered development practices to accelerate software delivery and innovation.

Required Skills & Experience Core Architecture

15+ years of software engineering experience.
8+ years in Solution Architecture, Enterprise Architecture, or Principal Engineering roles.
Proven experience delivering enterprise-scale Banking and Payment solutions.

Java & Backend Engineering

Expert-level knowledge of:
Java, Spring Boot, Spring Cloud, Microservices

Messaging & Integration

Deep expertise in Messaging Hub architecture.

Strong experience with:
Kafka, NATS, Event Streaming Platforms
Expert understanding of:
Integration patterns, Enterprise Integration Architecture, Messaging patterns, API architecture, Event-driven architecture

Databases

Strong expertise in:
Oracle, PostgreSQL
Data modelling, performance tuning, HA/DR architecture, and transaction-heavy systems.

Leadership & Communication

Exceptional stakeholder management and executive communication skills.
Ability to influence senior leadership and engineering organizations.
Strong architectural documentation and presentation capabilities.
Experience leading globally distributed teams.
Strategic thinker with a hands-on engineering mindset.

Preferred Qualifications

Banking or Financial Services industry background.
Experience with large-scale modernization and transformation programs.
TOGAF, Kubernetes, Cloud, or Architecture certifications.
Experience building AI-enabled engineering organizations.
Exposure to GenAI and Enterprise LLM integration patterns

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