Engineering Team Lead - Ticker Plant, Frankfurt

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.  Read our blog to know more! 

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.

We are building teams in Frankfurt in the Market Data Distribution and Database Infrastructure areas and are looking for Team Leaders to build these new teams, establish its culture, vision, and operating model.

Our Technology

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.  In addition, we use a wide range of engineering strategies to solve problems ranging from using off the shelf software (like kafka) to implementing our own algorithms/solutions (e.g custom built database), as appropriate for the problem at hand. 

We’ll trust you to:

• Lead the team to design, develop, and release high-quality and maintainable code

• Play a hands-on role in recruiting, onboarding, and mentoring engineers, helping them grow into leaders of critical initiatives

• Foster a culture of high quality with a focus on automated testing and strong software development practices within the team

• Partner closely with stakeholders to understand problems and solve them in an incremental manner

• Inspire and motivate team me