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London
Business Area
Engineering and CTO
Ref #
10048075
Description & Requirements
Directory powers the “who” behind Bloomberg, unifying fragmented identity data and connecting millions of people and entity profiles across products, platforms, and enterprises. Our mission is to provide a single source of truth for people and entities in the financial world.
We ingest client identity data from Microsoft Entra ID or direct SFTP uploads alongside proprietary data from Bloomberg internal systems, enriching it into a unified view of people and entities. This enriched dataset is then streamed across Bloomberg and powers dynamic group resolution through our Group Manager as a Service (GMaaS), enabling systems to drive enterprise access control, financial content distribution, communication federation, user validation, compliance and more.
We use the latest technologies and a modern Developer Experience, with Python and C++ as our main languages, and alongside the Bloomberg proprietary stack we leverage open-source technologies including Redis, RabbitMQ, Kafka, Solr, and PostgreSQL.
You’ll work closely with engineers, product managers, and external stakeholders to shape our platform's roadmap and help firms meet growing regulatory and operational requirements.
What We Offer
- Building resilient, high-throughput systems that handle billions of requests per day.
- Tackling meaningful problems in identity resolution, data modeling, and workflow orchestration.
- Joining a team that values collaboration, inclusivity, and technical excellence.
As a Senior Software Engineer on Directory, you’ll design, build, and scale systems that:
- Ingest, normalize, and enrich high-volume identity datasets from diverse internal and external sources.
- Drive real-time data ingestion pipelines and message queue-based notification systems.
- Serve low-latency, high-throughput APIs to internal consumers of Directory data.
- Provide clients with tools to create and manage flexible, graph-structured group hierarchies within our user group management solution.
- Proven experience in an object-oriented programming language (C++, Python, or Java).
- Experience designing and maintaining scalable backend services.
- Familiarity with distributed systems, data pipelines, and real-time messaging frameworks.
- An understanding of backend service architecture, APIs, and system observability.
- Familiarity working with enterprise identity systems.
- On-hands experience with technologies like Kafka, RabbitMQ, Redis.
- A passion for clean, testable code and strong SDLC practices.
- Experience collaborating across teams to shape platform APIs and infrastructure.
Key Skills
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