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# DevOps Engineer (Must have Kubernetes)

- **Company:** Cornerstone Defense
- **Location:** Chantilly, VA, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Cloud Engineering, Software Documentation, Computer Programming, Continuous Integration, DevOps, Elasticsearch, Apache Hadoop, Python (Programming Language), PostgreSQL, Linux System Administration, Apache Maven, OpenShift, Software Tools, Ansible, Prometheus, Shell Script, Software Engineering, Grafana, Apache Spark, Gitlab, Git, Kubernetes, Infrastructure Automation Frameworks, Rancher, Apache Nifi, Puppet, Terraform, Docker
- **Published:** September 11, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8787390/devops-engineer-must-have-kubernetes

## About the Role

The DevOps Engineer manages cloud and on-prem infrastructure to deliver complex software into production. This role focuses on building repeatable CI/CD processes, automation tools, and robust infrastructure-as-code solutions. The ideal candidate is a self-directed innovator capable of keeping pace with high-demand software development in an Agile environment., * Hands-on experience building and deploying infrastructure via Ansible and Terraform.

 * Expert knowledge of Docker and Kubernetes, including onboarding software into Kubernetes environments.
 * Deep proficiency in Linux-based systems and Shell scripting.
 * Experience with Git, Maven, Elasticsearch, Opensearch, Prometheus, and Grafana., * Experience with Rancher or cloud-native distributions (EKS, AKS, GKE, OpenShift).
 * Programming proficiency in Java, JavaScript, or Python.
 * Hands-on experience with PostgreSQL and Apache NiFi.
 * Working knowledge of Hadoop, Apache Spark, and related technologies.

## Description

* Administer repeatable cloud and server-based environments across customer and lab settings.
 * Build and maintain robust pipelines using GitLab, Docker, Ansible, Terraform, and Puppet.
 * Design, test, and deploy software tools to extend or replace existing infrastructure capabilities.
 * Collaborate with software engineers and data scientists to troubleshoot complex issues and provide ongoing production maintenance.
 * Author and update system documentation, training materials, and standard operating procedures.