Location
London
Business Area
Engineering and CTO
Ref #
10047651
Description & Requirements
We are part of the engineering organization that powers Bloomberg's global Electronic Trading platforms across Fixed Income, Foreign Exchange, Equities, and Derivatives. Our systems process millions of trades daily, providing clients with real-time insights, regulatory transparency, and post-trade analytics through scalable, reliable, and high-performance applications.
We operate at the intersection of scale, performance, and reliability. As engineers, we design full-stack, distributed systems that handle high-volume, low-latency workflows while meeting the resiliency needs of global markets. Our work powers Bloomberg Terminal client applications that directly impact users worldwide, providing the shared foundation that enables Bloomberg's Electronic Trading platforms to evolve and scale efficiently.
What's in it for you
You'll join a highly collaborative team that designs and delivers foundational services used across Bloomberg's Electronic Trading ecosystem. You'll have the opportunity to:
Build high-performance distributed systems that serve multiple trading workflows and products
Design common frameworks and APIs that unify data exchange across applications and services
Drive initiatives that enhance scalability, resilience, and observability across the platform
Partner with engineering and product teams across asset classes to deliver shared solutions that power new trading capabilities
Gain a deeper understanding of how global financial markets operate by working closely with product managers and clients
You'll need to have
Demonstrated enterprise experience developing software in C++ and Python
A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
Strong understanding of data structures, algorithms, and software design principles
Experience designing and maintaining distributed, fault-tolerant systems
Familiarity with CI/CD pipelines, automated testing, and agile development practices
The ability to collaborate across teams and influence technical direction in a large engineering organization
A strong sense of ownership and commitment to delivering reliable, maintainable, and scalable solutions
We'd love to see
Proficiency with modern C++ (C++17 or later) in Linux environments
Experience with streaming or messaging technologies, e.g., Kafka
Knowledge of service-oriented or microservices architectures
Interest in performance optimization, reliability engineering, and observability
Curiosity about financial markets and how technology drives trade automation and transparency
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