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Tekaccel Inc seeks a Senior Platform Engineer (Kubernetes) to own and operate enterprise Kubernetes platforms from Phoenix onsite. You will drive end-to-end upgrades, troubleshooting, and platform automation, partnering with developers to enable scalable, reliable data-heavy workloads.
The role requires hands-on Kubernetes and Linux expertise, experience with OpenShift/Rancher, Terraform-based automation, and strong observability skills using Prometheus and Grafana. Onsite collaboration expected.
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JD:Strong hands-on experience with Kubernetes administration, configuration, upgrades, operations, and production troubleshooting.Experience deploying and managing enterprise Kubernetes platforms using Red Hat OpenShift and/or Rancher.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.