Bloomberg is a market leader in Financial Journalism. Our ecosystem is probably the richest in the world for the amount of data it offers. The News Automation team aims to uncover signals hidden in the ecosystem, convert them into clear and valuable content and deliver it to our clients ahead of the competition.

Our team is responsible for the infrastructure that powers all this. We currently publish on average 12000 stories a day which account for more than 10% of TOTAL Bloomberg readership. And this is huge.

We are also leading an ambitious initiative to provide our Newsroom with AI powered tools to help them in their day to day critical activities.

Our system must be stable and resilient as we provide primary news coverage for critical areas such as company earnings, change in economic indicators and bond issuance. We also offer automated insights on demand directly to our clients. Our Streaks icon is used by clients to spot anomalies in their portfolios. We also provide versatile tools to generate semi-automated content, as well as an internal catalog with all available automations so that users can find what matters to them.

The server-side code adheres to the latest best practices; utilizing Python >3.10, extensive test coverage, local development with Docker and automated packaging and deployment alongside leveraging open-source technologies like Kafka, RabbitMQ, Redis, Cassandra and Zookeeper.

By joining our team, you’ll have the opportunity to work on a modern tech stack that blends infrastructure (~80%) and application development (~20%) whilst collaborating with a friendly and supportive team and contributing to a high-impact, high-throughput distributed system at the forefront of automated journalism.

Upcoming initiatives are focused on enhancing efficiency and reliability across our platform, including the development of an Editing Assistant powered by generative AI to provide smart tools for our Newsroom, the design of a robust Observability system to monitor every step of our automated pipelines and ensure data governance, and the creation of an Anomaly Detection system to intelligently identify and address data anomalies for our clients. These projects aim to improve transparency, precision, and innovation in our workflows.

You’ll need to have:Experience with object-oriented programming languages (Python, Java or C++ etc.) A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience Proficiency in system design, architecture, and development of high-quality, modular, stable, and scalable software Passion for leading discussions, sharing innovative ideas, and promoting best practices within the team Ability to collaborate with our stakeholders to take their ideas and break them down into clearly scoped projects
We’d love to see:A strong sense of ownership and a desire to make a differenceA desire to continuously improve personally and at a team level (architecture, workflows, coding practices, testing, etc..). Experience with high volume, high availability distributed system