At a Glance
- Tasks: Design and implement Kubernetes operators for a large-scale multi-tenant platform.
- Company: Join Bloomberg, a leader in tech innovation and engineering excellence.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on challenging the status quo.
- Why this job: Make a real impact by improving platform reliability and scalability.
- Qualifications: Strong programming skills in Go/Python and experience with Kubernetes internals.
The predicted salary is between 66150 - 80850 £ per year.
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. 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. 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'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.
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
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