Kubernetes Systems Engineer

Kubernetes Systems Engineer

Austin, TX - Hybrid Role
Interview - MS Teams
Top 3-5 Must Have Skills for this role:

- Ability to diagnose and resolve complex issues involving networking, pod scheduling, node health, and persistent volumes.
- Proficient with Helm, ArgoCD, and GitOps pipelines for cluster and application lifecycle management.
- Strong ability to collaborate with mid-level engineers, perform code and configuration reviews, and guide technical decisions.

We are seeking an experienced On-Prem Kubernetes Systems Engineer to manage and support our self-hosted Kubernetes infrastructure. This role will involve maintaining cluster health, troubleshooting both application and infrastructure-level issues, and developing new features and automation to improve the performance and reliability of services running in the Kubernetes environment.
Key Responsibilities:
Deploy, maintain, and scale on-premises Kubernetes clusters.
Troubleshoot and resolve issues across the full stack containers, pods, nodes, networking, and storage.
Collaborate with application developers to identify and fix deployment and runtime issues.
Develop tools, operators, and automation to streamline workflows and cluster operations.
Monitor cluster performance and resource usage; implement enhancements to improve reliability and scalability.
Write and maintain Helm charts, manifests, and CI/CD pipelines for Kubernetes-based applications.
Stay current with Kubernetes ecosystem trends and recommend improvements.
Document infrastructure components, design decisions, and troubleshooting procedures.
Required Qualifications:
Proven experience managing on-prem Kubernetes clusters (Kubeadm, RKE, etc.).
Proficiency in container technologies like Docker and containers.
Strong understanding of Linux systems, networking, and storage as they relate to Kubernetes.
Experience with monitoring tools (Prometheus, Grafana, etc.).
Familiarity with CI/CD tools (e.g., GitLab CI, Jenkins, ArgoCD, FluxCD).
Experience writing Helm charts, Kustomize, or other templating tools.
Strong troubleshooting and debugging skills across application and infrastructure layers.
Scripting skills (Bash, Python, or Go preferred).
Preferred Qualifications:
Experience with service mesh (Istio, Linkerd), ingress controllers (NGINX, Traefik), or internal DNS.
Familiarity with GitOps and Infrastructure as Code principles.
Exposure to secure Kubernetes practices (RBAC, PodSecurityPolicies, NetworkPolicies).
Experience supporting high-availability and disaster recovery configurations