Senior Software Engineer - Kubernetes As A Service

USD 160,000-240,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

API @ 4 CI/CD @ 4 Go @ 7 Grafana @ 4 Helm @ 3 Jenkins @ 3 Kubernetes @ 4 Networking @ 4 Observability @ 4 OpenTelemetry @ 4 Prometheus @ 4 Python @ 7 SRE Terraform @ 3

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.

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.

Work closely with our tenant application teams to align on requirements and ensure smooth user experience for your users.
Create clear and comprehensive documentation for Kubernetes controllers and troubleshooting playbooks.
Provide mentorship and support to other team members on Kubernetes best practices.

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.

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.