Requirements

4+ years of backend engineering experience in Python, Go, or comparable languages, with occasional frontend contributions
Degree in Computer Science, Engineering, Mathematics, or equivalent work experience
Hands-on experience building and maintaining distributed systems in production
Knowledge of event-driven architectures using Kafka or similar technologies
Good understanding of Linux systems, networking fundamentals, and production debugging
Product mindset focusing on user impact, developer experience, and usability
Clear written and verbal communication skills including design documents, operational updates, and incident follow-ups

Nice to Haves

Experience building platforms, frameworks, or infrastructure used by other software engineers
Experience running systems on Kubernetes or other containerized runtimes
Experience with telemetry technologies such as Prometheus, Grafana, OpenTelemetry, or similar
Experience with scalable storage technologies such as S3, Cassandra, or comparable systems
Experience with deployment automation and reproducible operations
Experience building modern web applications using JavaScript/TypeScript or React

Designing, building, testing, and operating infrastructure and platform features for event-driven data pipelines
Working across the stack to build simple and reliable user-facing abstractions over complex distributed infrastructure
Owning systems end-to-end from problem identification through production rollout and on-call support
Identifying technical and feature gaps, writing proposals, communicating trade-offs, and collaborating with teams to deliver improvements
Contributing to operational excellence through testing, monitoring, troubleshooting, incident response, and post-incident learning
Building features that scale Bloomberg’s data acquisition business, owning feature development from design through rollout
Improving reliability, scalability, and usability of systems processing billions of events per day

Opportunity to work on a large-scale platform impacting Bloomberg Engineering and Data
Role combines distributed systems, developer experience, production operations, and product-minded platform engineering