Senior Software Engineer - News Automation Platform
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (47.0%).
Occupation Type
Programmers and software development professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,700
(£28.05 per hour)
Occupation rate applies
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Description
Location
London
Business Area
Engineering and CTO
Ref #
10049304
Description & Requirements
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 packagi
London
Business Area
Engineering and CTO
Ref #
10049304
Description & Requirements
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 packagi
ng and deployment alongside leveraging open-source technologies like Kafka, RabbitMQ, Redis 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, efficiency, stability and flexibility in our workflows.
You’ll Need To Have
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, efficiency, stability and flexibility in our workflows.
You’ll Need To Have
- Proven 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
- Passion for leading discussions, sharing innovative ideas, and promoting best practices within the team
- A desire to continuously improve personally and at a team level (architecture, workflows, coding practices, testing, etc..).
- Experience with high volume, high availability distributed system
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