The Communication Channels team builds products used by the Bloomberg community for real-time communication, such as exchanging price quotes, trade ideas, news, and other financial information. We deliver 1.6 Billion emails (MSG’s) and 2 Billion instant messages (IB’s) across millions of chat rooms every day. We have a broad user-base unlike any other company, including asset managers, brokers, traders, financial analysts, and desks across all asset classes. Our users rely on these products’ real-time performance, massive scale, ironclad security, tight integration with financial data & applications on the Bloomberg Terminal, and most importantly their singular access to the Bloomberg network of 350,000 financial 
professionals.

CC Search & Alerts Team:

Our team -  CC Search & Alerts is part of the Communication Channels(CC) group. Our primary goal is to make sure that users are able to stay on top of ever increasing communication data. One person's trash is the other person's treasure and the CC Search and Alerts team aims to provide users with the ability to keep on top of communication that is pertinent and critical uniquely to them. 
Our current alerts system is based on client side filtering and IDOL software. Our team is currently working on building a new distributed and scalable system which consolidates the rule offering on the server side and is being built on top of open source Apache Lucene libraries. The alerts system needs to be highly performant and reliable as it tries to match millions of user created rules across millions of emails and instant messages per minute in real time.

Our scalable search offering on the other hand is already built on top of open source Apache Solr and is distributed across tens of collections across hundreds of machines and supports a million user queries every day. We are currently also working on building a more intuitive user experience and look forward to leveraging AI and Natural language processing as we try to better determine users' query intent and return the most relevant results to the users with the least possible overhead.

Technology Stack: 

•  Languages: C++ (cmake), Java11 (Gradle), Python3.8, Gherkin, Typescript
•  Frameworks: Spring, React
•  Technologies: Solr, Lucene, Kafka, Redis
•  Misc: Docker (Local Development)

This is where you come in:

•  As part of the team you will build large, scalable, real time distributed systems
•  Explore Solr, Lucene and other technologies to solve problems
•  Drive full stack solutions with user experience as primary focus
•  Develop new client facing features to keep our product competitive and also cater to the growing demands of our clients

You’ll need to have:

•  3+ years experience in Java/C++/Python development 
•  An aptitude for analytical problem solving
•  Working knowledge of modern development methodologies and tools (Jenkins / Maven / Jira)
•  BA, BS, MS, PhD in Computer Science, Engineering or related technology field

We’d love to see:

•  Full stack development experience
•  Experience with building large scale distributed systems
•  A track record of open-source contributions
•  Experience with search systems, particularly Lucene and Solr
•  Experience with functional programming and Reactive microservices

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.