Harvey Nash★3.8 (49)· London

You will build enterprise-scale applications using Java, Spring Boot, microservices, and front-end technologies (likely React or Angular), with exposure to AI tools and modern DevOps practices. You will join a high-performing engineering team at Harvey Nash, developing large-scale software solutions in a hybrid London-based setting.

Senior Java Full Stack Developer building large-scale enterprise applications for a global financial services firm. You will work with Java and embrace AI-powered development on modern software engineering projects.

A Java Full Stack Developer role building enterprise software and embracing AI-powered development. You will work on large-scale enterprise applications within a global financial services organisation, using Java as the core technology.

Senior full-stack role designing and scaling cloud-native applications for a global investment bank’s risk management space. Technologies include Java, Kotlin, React, and AWS. Work involves end-to-end development alongside cross-functional engineering teams.

Harvey Nash★3.8 (49)· London

Lead backend development of enterprise-grade Java solutions for an Investment Bank. Core technologies include Java and server-side development; the role drives architectural decisions for scalable systems and guides development teams on technical strategy and best practices.

Work with Java, Spring, and AWS on a cross-functional, service-oriented team extending and maintaining Awin's Affiliate Marketing platform. You will design reliable services, write clean, well-tested code, and take ownership of meaningful engineering challenges.

You will work with Astro, Sanity, GROQ, Portable Text, TypeScript, HTML, CSS, Tailwind CSS v4, Figma, SSR, serverless/edge runtimes, SQL, and CI. You will co-own the component library, content model, and rendering stack for synthesia.io, the marketing website of the world’s leading AI video platform.

Citi★3.9 (21k)· London

You will work with C++, C#, .NET, Java, Python, kdb, and SQL to develop analytics libraries and pricing models using Monte Carlo methods and PDE solvers. The role focuses on creating quantitative models for Citi’s cross-asset XVA and capital analytics, supporting trading business pricing and risk-management. You will collaborate with Traders, Structurers, and technology professionals.

You'll use Zapier, Make, n8n, Python or JavaScript, APIs, SQL, and webhooks. You'll own the automation layer for influencer marketing, building workflows for discovery, onboarding, contracts, content tracking, reporting, and payments.