Senior Software Engineer - EMRS Apps STAR , NY

Senior Software Engineer - Monitoring Interfaces

Location: New York

Business Area: Engineering and CTO

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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  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 Type Script (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.

• 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 Type Script

• 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

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

• 2+ years of experience with modern web technologies (React, Type Script, 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

• Experience in Dev Ops, 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

Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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