Senior Full-Stack Engineer: AI-Driven Banking (Angular/Java)

United States Digital Space LLC; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Competitive base salary

27 days annual leave

Private Medical Care & Life Insurance

Pension Plan

Employee Learning & Development

Job summary

the company is seeking a Senior Full-Stack Engineer to join the Banking Technology team for Opus Capital Management transformation. You will design and deliver enterprise-grade web applications, leveraging AI development tools and owning end-to-end delivery across Angular frontend and Java/Spring Boot backend.

The role requires hands-on delivery, strong design discussion leadership in a small, autonomous squad, and a mindset focused on AI-first quality and reliability.

Qualifications

• Significant hands-on experience with Angular, TypeScript, HTML5, Java and Spring.
• Experience with REST/GraphQL API-first design.
• Experience designing large-scale microservices platforms.
• Experience in Agile/Scrum delivery teams with incremental releases.
• Knowledge of RDBMS and NoSQL databases is desirable.
• Experience with Kafka is highly desirable.

Responsibilities

• Design and build microservices-based platform used by senior bankers worldwide, from Angular frontend to Java/Spring Boot backend.
• Ensure security, testing, CI/CD and production readiness.
• Collaborate with Product & Engineers in global squads on integrations.
• Leverage AI coding agents to accelerate engineering.
• Lear n Corporate Banking domain knowledge.

Skills

Angular

TypeScript

HTML5

Java

Spring

REST

GraphQL

Microservices

Agile

RDBMS

NoSQL

Kafka

Spec-driven

Job description

the company is seeking a Senior Full-Stack Engineer to join the Banking Technology team for Opus Capital Management transformation. You will design and deliver enterprise-grade web applications, leveraging AI development tools and owning end-to-end delivery across Angular frontend and Java/Spring Boot backend.

The role requires hands-on delivery, strong design discussion leadership in a small, autonomous squad, and a mindset focused on AI-first quality and reliability.