Our Team:

Bloomberg is the premier provider of real-time market data to the financial world. Market Data Engineering is at the core of both the Bloomberg Professional Service and Enterprise Solutions products that process market data from around the globe. Our systems process hundreds of billions of unique events a day, publishing these in real time while also servicing millions of client queries from our time-series database. As the Market Data Platform team, we are tasked with applying software engineering skills to solve the problems of owning large and always-growing market data systems while ensuring that we maintain resiliency, efficiency, availability and visibility at any scale. We work across the globe, with teams located in New York, London and Tokyo that comprise experts in various specialties like software engineering, platform performance, capacity planning, systems recovery, and automation.

Our Inspiration:

We work towards a vision where compute & capacity needs are met with increasingly fluid coverage. Our mission is to organize our environment and fleet to unlock unbounded Production scale. We establish structure to align with Engineering standards and foster meaningful contributions. Our team builds automation to support business continuity, test platforms and issue containment across environments.

We value data gathering and evidence-based decision making. The team is deeply influenced by reliability principles because quality is key in our systems.

What’s in it for you:

As a Market Data Platform engineer, you will:

• Get hands-on experience working on large-scale market data systems

• Design and develop predictive data models for our system capacity

• Participate in Fleet governance and orchestration of lifecycle events

• Build systems capable of early detection of issues through metrics and signals, and develop automated correction and remediation strategies

• Help set standards and partner closely with other engineers to ensure that all products meet those standards

We’ll trust you to:

• Code – We build and maintain production-quality software, from debugging and instrumentation toolkits to dashboards for monitoring load and latency. Our platform enables self-service operations and supports Incident Response.

• Design – We collaborate with component teams to design consistent interfaces, streamline workflows, and build applications for automation and self-service. We ensure new features are production-ready, reducing operational load by reusing solutions or filling gaps where needed.

• Analyze – We investigate system behavior, assessing the impact of changes before deployment and diagnosing unexpected issues in production.

The market data infrastructure you'll help build and improve is mission-critical for the global financial industry. Your work will directly impact the evolution of our market data architecture and the accuracy of financial market data worldwide.

You'll need to have:

• 4+ years experience working with an object-oriented programming language (Python, C/C++, Java)

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

• Experience working in a Unix/Linux environment

• Experience with developing and using tools

• Knowledge of test frameworks (pytest, gtest, etc)

• Experience with analysis, diagnosing, and solving issues in a production environment

• Strong understanding of large-scale systems architecture

• Strong communication skills

We'd love to see these experiences:

• Exposure to Market Data Distribution architectures

• Proficiency building and navigating Virtualized & Containerized architectures

• Orchestration systems (Ansible, Salt, etc)

• Experience with rapid prototyping

If this sounds like you:

Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are.

In the meantime, check us out at:
https://www.bloomberg.com/careers/blog/engineers-keep-terminal-data-running-smoothly-around-world/
http://www.techatbloomberg.com/

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