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# Mid Kubernetes DevOps Engineer [$306k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $306,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Linux, DevOps, Data Flow Control, Python (Programming Language), Log Analysis, MongoDB, Node.Js, OpenStack, Public Key Infrastructure, Red Hat Enterprise Linux, Ansible, Virtual Machines, Kubernetes, Rancher, Apache Nifi, Docker, Vmware
- **Published:** June 18, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8985282/mid-kubernetes-devops-engineer-306kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 8+ years
 * Total Compensation: $306k+ yearly

## Description

* Manage Linux VMs and Kubernetes clusters across VMware and AWS.
 * Maintain Ansible playbooks and monitor clusters with Rancher.
 * Support Apache NiFi deployments, manage dataflows, and handle PKI certificate lifecycles.
 * Troubleshoot VM and application issues.
 * Requires Linux, Docker, Python, and MongoDB., * Work across multiple hosting platforms supporting Linux VMs, focusing on VM Management and DevOps.
 * Manage server certificate lifecycle, monitor VM health, and perform software updates (manual/YUM).
 * Ensure VMs meet latest security requirements (STIG/SSP).
 * Monitor and manage production Linux VMs and Kubernetes clusters across various hosting platforms (OpenStack, VMware, AWS).
 * Maintain Ansible playbooks for VM changes and monitor Kubernetes clusters via Rancher/Kubernetes commands.
 * Administer, secure, and maintain RHEL 8/9 Linux virtual machines.
 * Troubleshoot production Linux VMs and Kubernetes clusters, ensuring node and pod health.
 * Support Apache NiFi deployments, including configuration, dataflow monitoring, and issue resolution.
 * Manage the full certificate lifecycle (server and PKI).
 * Perform software updates, patching, and system hardening through YUM and enterprise repositories.
 * Provide operational support to development teams and end users, from configuration to complex cluster builds.
 * Analyze logs, troubleshoot performance issues, and identify root causes for VM, container, or application problems.


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