Senior Software Engineer – Ticker Plant, Frankfurt
Description & Requirements
The Ticker Plant system is the beating heart of Bloomberg’s market data infrastructure and is responsible for the storage and distribution of all Market Data within Bloomberg. Market Data is information — trades, quotes, and other pricing data — gathered from around the world on every possible kind of financial instrument, from stocks and bonds to currencies and commodities, and other trading venues across the globe. In the aggregate, this amounts to several hundreds of billions of events across 100 million instruments.
Location: Frankfurt
Business Area: Engineering and CTO
Ref # 10046865
Our Teams
Ticker Plant is organized into the following functional areas.
* Market Data Distribution – handles the movement of real‑time market data in and out of the Ticker Plant system. This group owns and develops infrastructure that carries hundreds of billions of events originating from across thousands of machines spanning hundreds of clusters with low latency. In addition to the distribution infrastructure, this group provides sharding infrastructure that enables horizontal scalability of the Ticker Plant.
* Database Infrastructure – develops a high‑performance time‑series database that supports low latency data storage and retrieval for high‑volume applications, and stores all Market Data at Bloomberg. The storage engine hosts several petabytes of data, across hundreds of millions of instruments. The query engine handles ~100 billion queries daily ranging from interactive queries to batch queries at very high throughputs of up to 100K QPS.
* Data Content area – focuses on APIs, systems and services which transform, enrich, store and publish these market data events, relying on externally provided middleware and persistence technology solutions.
What We Do
We are looking for motivated engineers in Database Infrastructure and Market Data Distribution areas to help build the next generation Ticker Plant!
Being the core of the market data infrastructure, the Ticker Plant system by necessity is scalable, distributed, highly performant, and stable. To be highly performant, most of the critical software is written in C++. Python is also extensively used to build auxiliary services around the critically important software and to enable automation.
Key Challenges
* Consolidate existing data distribution mechanisms onto a fast, loss‑less, resilient market data distribution infrastructure.
* Improve scalability of the Ticker Plant by separating data processing and data storage layers, making them independently scalable and ultimately moving storage and query layers to cloud infrastructure.
* Modernize data storage technologies by adopting industry best practices.
What Is In It For You
* Hands‑on experience working on large‑scale distributed systems
* Join a group in the early stages of a major system re‑architecture
* Work on core computer science problems such as efficient data storage, data discoverability, data transmission and distribution
* Work with high‑caliber individuals and experienced teams of engineers and management
* Be challenged with trying to make our system more modular and horizontally scalable
We’ll Trust You To
* Take full ownership of technical solutions/features
* Design, implement, and own critical applications/components of our infrastructure stack
* Write quality code with automated tests
* Collaborate with other engineers in the team and with our CTO office & business partners
You’ll Need To Have
* Experience programming in C++/Python or other object‑oriented languages
* BS, MS, PhD in Computer Science, Engineering or related technology field or relevant boot camp experience
* Deep desire to learn and understand software infrastructure
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Seniority level
* Mid‑Senior level
Employment type
* Full‑time
Job function
* Other
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