Senior Software Engineer - Kubernetes Control Plane / Platform as a Service (BPaaS)

AI in this role

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:

- Design and implement Kubernetes operators and custom controllers that manage workloads across a large multi-tenant platform- Write production code (Go, Python) that interacts with the Kubernetes API (client-go, controller-runtime)- Own features end-to-end, from CRD design through implementation to rollout- Reason about distributed systems concerns: consistency, failure modes, leader election, and graceful degradation- Collaborate with other platform and infrastructure teams to integrate with Bloomberg-wide systems- Improve the reliability and operability of the platform through better abstractions- Bring ideas and challenge existing approaches. We'd rather hear a better way than defend the current one

You'll need to have:

- Strong programming ability in Go and/or Python- Experience with Kubernetes internals, not just deploying to K8s, but extending it (e.g. operators, controllers, CRDs, admission webhooks)- Understanding of distributed systems fundamentals (consistency, reconciliation, failure handling)- Curiosity about how things work under the hood and willingness to dig into unfamiliar systems- A degree in Computer Science, Engineering, or equivalent experience

We'd love to see:

- Contributions to open-source Kubernetes ecosystem projects (controller-runtime, kubebuilder, operator-sdk, etc.)- Experience building multi-tenant platforms or control planes- Familiarity with TypeScript/JavaScript for CLI or UI tooling- Experience designing APIs (REST or gRPC) for developer-facing platforms

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. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

How we rate this

Senior Software Engineer - Kubernetes Control Plane / Platform as a Service (BPaaS) at Bloomberg rates 83 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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