Our team builds the platform that Bloomberg engineering teams use to deploy and run production services. BPaaS (Bloomberg Platform as a Service) is a multi-tenant system built on Kubernetes. We extend K8s with custom controllers and operators that manage the full lifecycle of workloads across Bloomberg's infrastructure. Today that spans a large fleet of clusters, thousands of nodes, tens of thousands of deployments, and more than a hundred thousand pods, scale where your controllers' correctness and efficiency genuinely matter.
You'll be joining BPaaS Scalability, the team focused on automating fleet-wide operations across nearly a hundred clusters. Managing that many clusters by hand doesn't work. The solution isn't scripts and runbooks, it's software that handles it reliably. You'll design Custom Resource Definitions, implement controllers that reconcile desired state across the fleet, and write the Go and Python that makes it work. This is a software engineering role, not a DevOps role.
We're a small, collaborative team where everyone has input on technical direction. The problems we're solving don't have obvious answers, so we figure them out together. We embrace open source first and contribute back where we can.
We'll trust you to:
You'll need to have:
We'd love to see:
If this sounds like you:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/company/
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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