Kubernetes
Full Job Posting
Requirements
- Experience with enterprise storage and Pure Storage integration with Kubernetes, including CSI, persistent volumes, storage classes, and dynamic provisioning.
- Experience with Terraform and Infrastructure as Code (IaC) for automated and repeatable infrastructure provisioning.
- Hands-on experience with Helm, Argo CD, and GitOps for Kubernetes application and platform deployments.
- Experience with container technologies including Docker and Podman, container images, registries, networking, storage, and runtime troubleshooting.
- Experience with using LLDP for hardware network-layer identification and TCPDUMP for network troubleshooting
Full Job Posting
Strong hands-on RHEL/Linux administration and troubleshooting experience in enterprise environments.
• Strong knowledge of Linux storage, LVM, filesystems, RAID, server hardware, and system performance troubleshooting. • Strong understanding of networking, TCP/IP, DNS, routing, load balancing, SSH, TLS/SSL, certificates, and PKI. • Experience with enterprise storage and Pure Storage integration with Kubernetes, including CSI, persistent volumes, storage classes, and dynamic provisioning. • Hands-on automation and scripting experience using Shell/Bash, Python, and Ansible. • Experience with Terraform and Infrastructure as Code (IaC) for automated and repeatable infrastructure provisioning. • Hands-on experience with Helm, Argo CD, and GitOps for Kubernetes application and platform deployments. • Strong working knowledge of Git/GitHub and CI/CD pipelines, including version control, automated deployments, and environment promotion. • Experience with container technologies including Docker and Podman, container images, registries, networking, storage, and runtime troubleshooting. • Experience implementing observability and monitoring using Prometheus and Grafana, including metrics, dashboards, alerting, and performance analysis. • Experience designing and operating highly available, scalable, resilient Platform-as-a-Service (PaaS) environments supporting mission-critical workloads. • Experience supporting platforms for large-scale data ingestion, ETL, distributed data processing, and high-throughput workloads. • Strong end-to-end troubleshooting and root-cause analysis skills across hardware → storage → OS → network → containers → Kubernetes → platform services → applications • Experience with using LLDP for hardware network-layer identification and TCPDUMP for network troubleshooting • Strong knowledge equivalent to CCENT / Network+ for Server network configurations / validations, inclusive of NIC Bonding and LACP requirements
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