The Enterprise Data - Real-Time organization builds the infrastructure that powers Bloomberg’s market data products and APIs, enabling clients to automate workflows and access live data at scale. The Monitoring Interfaces team develops client-facing applications that allow clients to monitor and optimize their Bloomberg infrastructure, including hardware health, API performance, data consumption, and real-time usage trends.

We are a full-stack development team working primarily in Python and TypeScript (Flask, React, NodeJS). We’re entering an exciting phase of architectural modernization, building new services, data pipelines, and intuitive web interfaces that provide deep visibility into client systems.

We'll trust you to:

• Collaborate within an agile, cross-functional team to design, develop, and deploy scalable monitoring solutions

• Build interactive, data-rich front-end interfaces with React and TypeScript

• Implement and maintain REST APIs using modern Python frameworks such as Flask or FastAPI

• Work with time-series and relational data to capture and visualize key client metrics

• Partner with product managers and clients to translate operational insights into actionable tools

• Lead technical design discussions and deliver robust, maintainable solutions

• Mentor engineers and promote best practices in system observability and performance

You’ll need to have:

• 4+ years of experience developing with Python (Flask, FastAPI, Django, or similar frameworks)

• 2+ years of experience with modern web technologies (React, TypeScript, NodeJS)

• Experience working with APIs, data visualization, or monitoring systems

• Familiarity with SQL and database schema design

• A degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience
  

• Strong written and verbal communication skills

We’d love to see:

• Experience in DevOps, observability, CI/CD, and performance tuning

• Familiarity with Linux environments and distributed systems

• Experience with large-scale data pipelines or real-time analytics tools

• Open-source contributions or participation in technical communities
  

• Knowledge of Apache Solr, Spark, or similar technologies for data processing