Location
London
Business Area
Engineering and CTO
Ref #
10044546
Description & Requirements
TRAX Platforms is responsible for modeling, transforming, and delivering trading data to Bloomberg's largest trading solutions and their customers. We process tens of millions of trading events every day in real time, ensuring that our clients can continue trading seamlessly in financial markets around the world.
Our software powers essential parts of the trading workflow, such as cross-asset blotters and trading automation engines, making it a vital component of the trading ecosystem. Our goal is to enable product teams across Bloomberg to deliver powerful trading solutions, at scale.
Our environment is defined by rapidly growing volumes and complexity of trading data, and our systems must continuously scale to meet these demands. As a mission critical platform, quality and reliability are at the core of everything we do. We have high quality standards, continuously invest in the observability of our platform and
closely collaborate with our SRE teams.
What We're Looking For
We have several positions across multiple teams and we're seeking both experienced backend and full stack engineers, with strong C++ skills. Additional TypeScript experience is appreciated. You'll have the opportunity to drive design discussions, and collaborate closely with engineering and product partners to deliver exceptional results. If you're passionate about building platforms and solving real-time data challenges then we'd love to hear from you!
What's In It for You?
Build high-performance, highly reliable distributed systems that enable sophisticated trading workflows
Collaborate across teams and organizations to deliver cutting-edge solutions
Play a central role in shaping the future of our trading data platforms
You'll Need To Have
Demonstrated experience building enterprise applications in C++
Experience designing and maintaining large scale distributed systems
A sharp eye for quality
A proven track record of leading projects from design through implementation, testing, and release
We'd Love To See
A practical approach to balancing performance, reliability, and developer experience
Experience with distributed architectures and high-throughput messaging
Background in building scalable platforms
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