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Senior Platform Engineer (Kubernetes)

Tekaccel, IncAZ🇺🇸United StatesPosted Oct 22, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
AZ, United States
Posted
18 hours ago
DockerShellGitETLLoad BalancingTCP/IPAnsibleBashDNSGrafanaHelmPKIPhoenixPrometheusPythonTerraformKubernetesCI/CDLinux

Job Description

Hi

I hope you are doing good!

Role: Senior Platform Engineer (Kubernetes)

Location: Phoenix AZ Onsite

2 nd interview face to face

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.
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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