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# Linux Systems Engineer (K8S/DevOps) [$306k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $306,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Application Layers, Configuration Management, Linux, DevOps, Data Flow Control, Python (Programming Language), Log Analysis, MongoDB, OpenStack, Public Key Infrastructure, Red Hat Enterprise Linux, Ansible, Virtual Machines, Containerization, Kubernetes, Rancher, Apache Nifi, CIS Benchmarks, Vmware
- **Published:** August 28, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9122738/linux-systems-engineer-k8sdevops-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

* Administer, secure, and monitor Linux virtual machines and containerized workloads across VMware and AWS environments.
 * Maintain Kubernetes clusters using Rancher and automate configuration management via Ansible.
 * Support Apache NiFi dataflows, manage PKI certificates, and utilize Python and MongoDB to maintain operational readiness., * Administer, secure, and maintain production Linux virtual machines (RHEL 8/9) across OpenStack, VMware, and AWS platforms.
 * Maintain Ansible playbooks to automate VM configuration updates and system management tasks.
 * Monitor and troubleshoot Kubernetes clusters using Rancher and CLI tools to ensure node and pod health.
 * Support Apache NiFi deployments, including dataflow monitoring, configuration updates, and connectivity troubleshooting.
 * Manage the full server and PKI certificate lifecycle ensuring compliance with security baselines and hardening standards.
 * Perform routine software updates, patching, and system hardening through enterprise YUM repositories.
 * Provide operational support to development teams and end users ranging from basic configuration changes to cluster builds.
 * Analyze logs and troubleshoot performance bottlenecks across VM, container, and application layers.


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