Senior Infrastructure Engineer - High-Throughput C++ Systems

Bloomberg; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Bloomberg is seeking an engineer to build high-throughput, fault-tolerant infrastructure that underpins enterprise-scale operations. You will address scalability bottlenecks, design robust systems, and ensure data governance across billions of daily transactions.

The role spans backend services, APIs, caches, and observability, with collaboration across product, engineering, and business teams to deliver low-latency data access and resilient data propagation for Bloomberg’s client-facing

Qualifications

• Degree in Computer Science, Engineering, Mathematics or equivalent.
• Experience building high-scale caching platforms and data access layers.
• Proficiency with message brokers, distributed caching and relational databases.
• Strong system design, latency optimization and data governance fundamentals.

Responsibilities

• Scale local and remote caching layers using C++, Python, and GraphQL to ensure low-latency data retrieval.
• Architect Kubernetes-friendly caching solutions and infrastructure patterns for cloud-native clients.
• Revamp the Customer Record data model to support the evolution of our business processes.
• Implement data governance and compliance frameworks to enforce strict privacy and security.
• Optimize update flows, queue-based event propagation, and database replication while eliminating race conditions.
• Establish strict SLOs/SLAs and build observability frameworks using Grafana dashboards, alerting, and latency analysis.

Skills

C++

Python

GraphQL

Low-latency design

Education

Degree in Computer Science, Engineering, Mathematics or equivalent

Tools

RabbitMQ

Redis

Comdb2

SQL Server

Job description

Bloomberg is seeking an engineer to build high-throughput, fault-tolerant infrastructure that underpins enterprise-scale operations. You will address scalability bottlenecks, design robust systems, and ensure data governance across billions of daily transactions.

The role spans backend services, APIs, caches, and observability, with collaboration across product, engineering, and business teams to deliver low-latency data access and resilient data propagation for Bloomberg’s client-facing