Senior Software Engineer - Customer Data Infra

Bloomberg New Energy Finance Corporation; New York (NY); On-site; USD 160,000 - 240,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Bonus eligible

Job summary

Bloomberg is seeking a Senior Software Engineer to help scale the Customer Distribution Infrastructure that underpins internal data systems and client-facing experiences in New York. You’ll design high-throughput, low-latency services, work across backend, APIs, caches, and observability, and influence data governance and resilience.

You’ll scale caching with C++, Python and GraphQL, architect Kubernetes-friendly patterns for cloud-native clients, and partner with teams to evolve the Customer

Qualifications

• Degree in Computer Science, Engineering, Mathematics or equivalent work experience.
• Experience building high-scale caching platforms or data access layers.
• Demonstrated track record with message brokers, distributed caching and relational DBs (RabbitMQ, Redis, Comdb2, SQL Server).
• Proven expertise in system design, data modeling and API design.
• Strong fundamentals in low-latency data access & caching mechanisms.

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 evolving 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

Kubernetes

Caching

Data governance

Education

Bachelor's degree in CS/Engineering

Tools

RabbitMQ

Redis

Comdb2

SQL Server

Job description

Bloomberg is seeking a Senior Software Engineer to help scale the Customer Distribution Infrastructure that underpins internal data systems and client-facing experiences in New York. You’ll design high-throughput, low-latency services, work across backend, APIs, caches, and observability, and influence data governance and resilience.

You’ll scale caching with C++, Python and GraphQL, architect Kubernetes-friendly patterns for cloud-native clients, and partner with teams to evolve the Customer