IPaaS (Insights Platform As A Service) offers suggestions (known as Insights) based on the context of the client’s current workflow. Insights are a groundbreaking new way for Bloomberg users to discover relevant content in the Bloomberg terminal by surfacing difficult to discover data where and when they need it within their day-to-day workflow. Bloomberg users have the opportunity to easily and swiftly dive deeper for more context to make critical financial decisions.
The IPaaS mission is to make discovering the breadth and depth of impactful financial data available easier and quicker for finance professionals. An Insight is a carefully crafted auto-generated short sentence, similar to a well-written news headline, that communicates the bottom line without the need to read the whole story. Insights often come with clickable links, abstract text, and other metadata to provide even more information, analogous to reading the full body of a news story.
The IPaaS Backend team is primarily focused on data ingestion, scaling, stability, storage, and distribution of Insights data via various messaging technologies. Our platform’s challenge is to provide a generic framework which uses the massive breadth of Bloomberg's financial data to quickly compute insights. In the next year, we expect the ingestion pipeline to handle over 50 Million events per day and the query engine, 1M client requests per day.
We are looking for a strong backend engineer to help architect and scale IPaaS. One key challenge of IPaaS is performing calculations across many different data sets within several milliseconds for client interactions. Another key challenge is ingesting real-time data, generating relevant Insights, and delivering the resulting data set via pub-sub technology without introducing significant latency. The individual would also work with business and partners stakeholders to define both client and non-client facing features, and mentor individuals in the IPaaS organization. IPaaS currently has 40+ types of microservices written primarily in C++ and Python installed on Linux machines. In order to meet our goal of delivering millions of Insights per day, the engineer joining IPaaS would have a significant role developing novel delivery techniques using both caching and messaging technologies. Our team strongly believes in adhering to the best industry practices, innovating impactful solutions, and continuous deployment to production.
If this sounds like something you would be passionate about, please apply! We'll get in touch with you to let you know what the next steps are.
Bloomberg is an equal opportunities employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Job ID: 84635
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