The Enterprise Product Platform (EPP) is the infrastructure layer behind Bloomberg's enterprise products. We build the data access and API platforms that power everything from trading workflows to risk and compliance systems.
If you're interested in large-scale distributed systems, developer platforms, or high-performance APIs used by some of the most sophisticated financial institutions in the world – this is where it all comes together.
About Us
Our organization includes two major platform areas:
Data Access Platform
We serve as the foundation for making billions of financial data points – both raw and derived – accessible to enterprise systems across Bloomberg. This includes sanitizing, validating, and exposing high-quality data to internal applications with extremely low latency and high throughput.
API Platform
We are the programmatic interface between Bloomberg and our enterprise clients. Our work enables in- and outbound data integration for critical workflows such as order processing, compliance, and operational risk reporting.
Why Join Us?
You'll be part of the team shaping the foundational platforms behind Bloomberg's enterprise product strategy for the next decadeYou’ll have opportunities across multiple domains: high-throughput ingestion, distributed cache management, client-facing APIs, and developer infrastructure.You'll work on real problems of scale: massive datasets, latency-critical workflows, and APIs that must be correct, observable, and dependable.You'll join a collaborative, pragmatic engineering team that values craft and outcome over ceremony.
We Will Trust You To:
Design and implement high-performance, scalable, and fault-tolerant systems that support financial transaction workflows and real-time data processing.Collaborate with cross-functional teams to enhance the scalability of data access and API platforms, influencing architecture and optimizing system throughput.Own the full software development lifecycle—from technical design to deployment—ensuring best practices in testing, automation, and performance tuning.Partner with product managers, engineering teams, and enterprise clients to deliver impactful solutions across Bloomberg’s trading and data platforms.Leverage and explore technologies including distributed computing, event-driven architectures, and real-time analytics.
You’ll Need to Have:
4+ years of experience working with C++Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent experienceStrong understanding of data structures, algorithms, and system designExperience designing and maintaining high-throughput distributed systems or APIsAbility to collaborate across teams in a fast-paced, agile environment
We'd Love to See:
Familiarity with scripting languages like JavaScript or LuaExperience working with trading systems, order/execution workflows, or real-time data platformsKnowledge of messaging systems like Kafka, RabbitMQ, or IBM MQPrior contributions to large-scale distributed computing platformsExperience with REST APIs, WebSockets, and real-time event processingA bias toward building systems that empower other engineers
Sound Interesting?
Let’s talk. Whether your interest lies in high-performance APIs, large-scale data processing, or building the tools that help other engineers succeed, there’s room for you here.
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.