Bloomberg Senior Real-time Data Distribution Engineer in New York, New York
Job Requisition Number: 56582
Low-level optimization is your middle name, and C++ is your weapon of choice. You enjoy working with low-latency, high throughput, distributed systems and are comfortable thinking about the distance between two countries in both miles and milliseconds. You view existing code bases not as obstacles but as building blocks for something greater.
You’re the perfect fit for Bloomberg’s Real-time Data Distribution team.
Bloomberg’s financial data sets underpin the world’s financial systems and we’re the ones responsible for delivering it to hundreds of thousands of clients in real-time. As a C++ developer in our group, you'll work on mission-critical, scalable, distributed, high-performance distribution software that provides financial data delivery to over 300,000 Bloomberg desktop customers and thousands of servers around the globe.
We know you’re up for the challenge to help us scale this rapidly growing business.
As a member of our agile team, we’ll trust you to:
- Familiarize yourself with our codebase and documentation.
- Proactively identify opportunities to improve code and documentation.
- Design high-performance C++ solutions to improve the performance, scalability and stability of our distribution system
- Implement, test, and release your code and see the effect of your improvement on thousands of servers
- Participate in recruitment activities to grow our diverse team of talented engineers.
You'll need to have:
- 5+ years’ experience developing multithreaded C++ code
- A strong understanding of computer science fundamentals such as data structures and algorithms
- Knowledge of network protocols such as TCP/IP and multicast, and experience with network programming
We’d love to see:
- Experience working on real-time middleware systems including routing, caching, and fan-out
- Experience working with distributing large volumes of data with low latency requirements
If this sounds like you:
Submit an application, and check out our API libraries, documentation, and publications at https://www.bloomberglabs.com/api/ .