Top Java Developer Jobs in London

Lead development of secure, high-performance, low-latency cloud-based payments applications using Java and AI-assisted engineering practices. Responsibilities include designing and coding payment flows, reviewing and debugging code, establishing secure coding and automated testing standards, supporting production stability, coaching engineers on responsible AI adoption, evaluating architectures, and promoting modern software engineering practices across the organization.

Leads development of high-performance, latency-sensitive trading systems using Java and Python. Oversees architecture, coding, testing, APIs, integration strategies, observability, resilience, security, incident response, and operational readiness. Guides agile delivery through technical planning, code reviews, retrospectives, and mentoring. Establishes responsible use of AI-assisted engineering tools and validates outputs for correctness, performance, and security in a regulated financial environment.

Lead technical strategy, architecture, and delivery for a large-scale risk analytics and reporting platform. Design scalable Java and React-based applications, govern frontend architecture and design systems, integrate enterprise platforms and data sources, and drive reliability, resiliency, observability, security, and compliance. Partner with Risk, Product, Data, Architecture, and Engineering stakeholders while evaluating AI, machine learning, and generative AI capabilities for analytics, automation, and decision support.

Develop and enhance Java applications, translate complex requirements into technical specifications, and build scalable cloud-native solutions using Spring Boot, Kafka, AWS, and microservices. The role includes implementing architecture patterns, writing comprehensive automated tests, working with relational and non-relational databases, supporting CI/CD, addressing information security and data privacy requirements, and mentoring junior developers.

Hands-on senior software engineer responsible for designing, developing, testing, deploying, monitoring, and supporting BlackRock’s cloud-native Private Markets platform. The role involves Java backend and React/TypeScript frontend development, scalable APIs and services, event-driven workflows, architecture evolution, CI/CD, incident investigation, and secure data-centric systems. The engineer will use AI-powered development tools and integrate AI capabilities into products while collaborating with engineering, product, architecture, and QA teams.

Design, build, test, and maintain scalable full-stack web applications and integrations using Java, Python, and React. Implement AI-enabled features, event-driven data pipelines, and marketing integrations (CDP/CRM/CMS). Improve code quality via AI-assisted tools, CI/CD, observability, and security/compliance best practices while collaborating with product, marketing, and partners.

Develop and troubleshoot secure, scalable Java applications in an agile environment. Design and implement solutions using Spring, Spring Boot, REST services, databases, and modern software development practices. Create architecture and design artifacts, investigate system logs, maintain production code, analyze data for reporting and continuous improvement, and support application resiliency, security, testing, and operational stability.

The role involves designing and building cloud-native applications using Java and Spring Boot, focusing on scalable microservices for financial institutions while leading agile practices.

Leads software engineering for a secure, scalable cloud data platform supporting credit risk technology. Responsibilities include designing and delivering Python solutions, reviewing production code, building CI/CD pipelines, improving application resiliency, standardizing SDLC tooling, automating remediation, and guiding responsible AI-assisted engineering practices. The role also evaluates vendors and leads cross-functional delivery initiatives involving AWS, Databricks, Spark, Terraform, lakehouse architecture, observability, security, and governance.

As a Senior Software Engineer II, you will drive the technical vision for backend solutions, enhance recipient management, and ensure system reliability.

Build and improve fraud prevention and account integrity systems protecting customers from account takeovers and financial crime. Develop backend services and frontend features, design and operate CI/CD pipelines, and work with distributed and concurrent systems. Optimize relational and non-relational databases, apply test-driven development, and own projects end to end with a customer-focused, data-driven mindset. Collaborate with Product, Data Science, and Investigations teams; machine learning lifecycle experience is beneficial.

Lead and mentor an agile team to design, develop, secure, and operate scalable cloud-native applications using modern front-end tech and AI-assisted engineering practices; drive automation, code quality, resiliency, and operational stability.

Lead development of equities algorithmic trading strategies and execution platform. Build simulation and automated testing, analyze and improve strategy performance, troubleshoot production issues, and develop scalable real-time processing and automation to improve operational stability.

Lead design, development, testing, release, and production support for Equity Derivatives workflows. Own production outcomes, incident triage, stakeholder communication, UAT, architecture and observability. Drive adoption of AI-assisted engineering practices, maintain release discipline, gather telemetry for stability metrics, and improve system reliability and coding hygiene through cross-functional collaboration.

Lead technical design and development of AI-native systems for credit pre-trade markets. Build scalable AI platforms, modernize legacy systems, deliver secure production code, partner with trading and product teams, support production operations, evaluate vendors, and drive engineering best practices and communities of practice.

Lead backend engineering work using JVM languages to design scalable, reliable, secure, cloud-native, multi-cloud solutions. Drive domain modeling, performance optimization, zero-downtime releases, incident resolution, and operational excellence. Champion adoption and governance of enterprise-authorized AI-assisted engineering practices and SDLC toolchain automation while coaching teams on responsible, secure AI use.

Lead backend engineering efforts to design, build, and operate scalable, reliable, and secure cloud-native services using JVM languages. Drive domain modeling, performance optimization, zero-downtime releases, incident remediation, automated testing, and adoption of approved AI-assisted engineering practices while mentoring teammates and promoting reusable patterns.

Lead development of the QES trading platform: design, build, test, and maintain production-grade software. Collaborate with front office (trading, structuring, research), deliver secure high-quality code (Python/Java/TypeScript/React), automate operational remediation, and lead agile engineering practices and communities of practice.

Lead design and delivery of high-performance Java back-end systems for OMS/Sales. Provide technical direction, write and review secure production code, drive adoption and governance of AI-assisted engineering practices, ensure cloud-native (AWS/Terraform) scalability and operational stability, and promote SDLC best practices across teams.

Lead development of low-latency equities algorithmic trading strategies and execution platform. Build simulation and automated testing, analyze and tune models/signals, support production incidents, and create scalable real-time processing solutions.

Hands-on lead engineer responsible for designing, developing, reviewing, and shipping secure, production-ready payment systems. Drive architecture, operational stability, automation, vendor evaluations, and mentor engineers while contributing to technical direction and team culture.

Design, build, and maintain large-scale, secure data engineering solutions. Lead architecture, deliver production code, drive automation and operational stability, mentor teams, and evaluate vendor/technology choices to advance risk technology platforms.

Design, build, and maintain scalable, secure, cloud-native backend systems using JVM languages. Ensure reliability, performance, and zero-downtime releases; use domain modeling, automated testing, and enterprise AI-assisted tools to improve code quality and delivery.

Lead and deliver secure, scalable post-trade software solutions. Design, develop, review, and troubleshoot production code; drive architecture evaluations; automate remediation; promote CI/CD, resiliency, and cloud-native practices; mentor engineering communities and collaborate with vendors and internal teams.

Lead design, build, and operate cloud-native AWS microservices using Kubernetes. Drive CI/CD, containers, IaC, monitoring, reliability, and incident resolution. Champion AI-assisted engineering practices, mentor engineers, participate in architecture reviews, and optimize platform availability and scalability for low-latency trading.