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# Senior Software Integration Engineer - DevOps & Big Data Platforms

- **Company:** CTRL,  LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $233,043.0 - $257,317.0
- **Contract:** Permanent contract
- **Skills:** Bash Shell, Big Data, Continuous Integration, Linux, DevOps, Linux Commands, Ansible, Prometheus, Systems Integration, Scripting, High Performance Computing, DevOps Tools - Open-source, Grafana, Apache Spark, Infrastructure as Code (IaC), Git, Gitlab-ci, Kubernetes, Information Technology, Deployment Automation, Atlassian Tools, Free and Open-Source Software, Docker
- **Published:** November 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1575b10afdca8621

## About the Role

Applicants must currently hold an active TS/SCI with polygraph. Ctrl+ does not sponsor new security clearances or clearance upgrades. Applicants who do not meet this requirement cannot be considered., * 8 years of relevant experience. Bachelor's degree in Computer Science or a related discipline from an accredited college or university.

 * Linux command-line tools and administration
 * Shell, Bash and Python scripting
 * COTS, GOTS and open-source software integration
 * Spark or other stream/batch big data frameworks
 * GitLab CI and CI/CD practices
 * Infrastructure as Code (IaC) and Ansible
 * Docker and Kubernetes
 * Prometheus and Grafana
 * Git

Preferred qualifications

 * Jira and Confluence

## Description

Bridge mission users and engineering teams. Scope technical needs, integrate software and keep big data and DevOps services running smoothly.

The mission

Support high-performance computing, DevOps tooling and big data services that help mission teams turn data into results.

What you'll do

 * Act as a customer-facing operations point of contact
 * Gather and scope technical requirements and support urgent requests
 * Install, configure and sustain software on Linux platforms
 * Build and maintain CI/CD pipelines
 * Automate provisioning and configuration with Ansible
 * Deploy and monitor containerized services on Kubernetes