Senior Software Engineer - Kubernetes as a Service
LocationNew York
Business AreaEngineering and CTO
Ref #10046686
Description & RequirementsWho We Are:
We are the KaaS team (Kubernetes as a Service), the backbone of all Kubernetes-based platforms at Bloomberg. Our platform is designed to deliver a seamless and robust cloud-native experience to our internal application teams on-prem, comparable to leading Kubernetes platforms like AWS EKS and GCP GKE.
At the heart of KaaS is a collection of custom-built Kubernetes controllers to simplify and automate the management of Kubernetes environments. These controllers provide tenants with powerful tools to effortlessly build, deploy, and manage their platforms within KaaS, enabling them to focus on their applications while we handle the complexities of infrastructure.
Our mission is to empower Bloomberg's development teams with a reliable, scalable, and feature-rich Kubernetes ecosystem, driving innovation and efficiency across the organization.
We are looking for a Software Developer with expertise in building Kubernetes controllers and troubleshooting Kubernetes infrastructure. The ideal candidate will have a strong background in software development, cloud-native technologies, and Kubernetes. This role will focus on designing, implementing, and maintaining custom Kubernetes controllers while ensuring the reliability and performance of the underlying Kubernetes infrastructure.
We'll Trust You to:
Kubernetes Controller Development:
- Design and implement custom Kubernetes controllers and operators using tools like Kubebuilder, Operator SDK, or similar frameworks.
- Work with Custom Resource Definitions (CRDs) to extend Kubernetes functionality.
- Integrate controllers with external systems via REST APIs and other protocols.
- Write unit and integration tests for controllers to ensure reliability and correctness.
Infrastructure Troubleshooting:
- Diagnose and resolve issues in Kubernetes clusters, including networking, storage, and node-level problems.
- Collaborate with other SRE teams to maintain high availability and performance of Kubernetes environments.
- Monitor and analyze cluster health using tools like Prometheus, Grafana.
Collaboration and Documentation:
- Work closely with our tenant application teams to align on requirements and ensure smooth user experience for our users.
- Create clear and comprehensive documentation for Kubernetes controllers and troubleshooting playbooks.
- Provide mentorship and support to other team members on Kubernetes best practices.
You'll need to have:
- Strong programming skills in Go or Python. Go is the main language used in this platform
- Solid understanding of Kubernetes architecture, including Pods, Services, Deployments, and StatefulSets.
- Hands-on experience with Kubernetes API, CRDs, and controller patterns.
- Experience in troubleshooting Kubernetes infrastructure, including networking, storage, and cluster issues.
- Experience with CI/CD pipelines for deploying and managing Kubernetes workloads.
We'd love to see:
- Experience with observability tools like Prometheus, Grafana, and OpenTelemetry.
- Knowledge of service meshes (e.g., Istio) and their integration with Kubernetes.
- Familiarity with Jenkins, Argo, Helm charts, Kustomize, and Terraform for Kubernetes resource management.
- Experience with EKS, GKE, AKS, Rancher, etc.
Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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