Top Engineering Jobs in London

Develop algorithmic systems and software for BlackRock’s quantitative investment research teams. The role focuses on computer science, data management, mathematical modeling, computer simulations, distributed computing, GPU utilization, and machine learning. Responsibilities require delivering production-quality software using Python, Pandas, and Java or C/C++ while collaborating with computer scientists, data scientists, and quantitative investors.

Build and maintain full-stack SaaS features across backend and frontend: develop scalable Python and .NET services, create React/TypeScript UIs, design and integrate REST/gRPC APIs, support cloud-native deployments, production monitoring, incident resolution, and apply security, CI/CD, and testing best practices while collaborating with product and business stakeholders.

The role involves leading solutions architecture for the Aladdin platform, overseeing delivery of cross-functional initiatives, ensuring alignment with architecture standards, and engaging with stakeholders to translate business requirements into technical designs for scalable solutions.

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.

Lead and contribute to building scalable, production-grade data systems for private markets. Architect end-to-end data workflows supporting analytics and AI/ML, ensure observability, testing, and operational maturity, influence technical strategy, engage senior stakeholders, and manage and mentor software engineers while partnering with product, data science, and business teams.