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# Mid-Level DevOps Engineer [$265k/yr+] TS/SCI

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $265,000
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Big Data, Cloud Computing, Information Engineering, Linux, DevOps, Python (Programming Language), Linux Servers, Uptime, Software Tools, Ansible, System Availability, Containerization, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Hardware Infrastructure, Functional Programming, Terraform
- **Published:** November 5, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9293700/mid-level-devops-engineer-265kyr-tssci

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 9+ years
 * Total Compensation: $265k+ yearly

## Description

* Deploy and maintain cloud and edge infrastructure in AWS environments, with a strong focus on container orchestration and high availability.
 * Automate CI/CD pipelines and infrastructure deployments using modern configuration management tools including Terraform and Ansible.
 * Administer Kubernetes clusters and containerized applications while maintaining robust Linux operating environments.
 * Integrate big data technologies and provide technical mentorship and leadership across engineering teams., * Architect, deploy, and maintain cloud infrastructure in AWS, especially utilizing Amazon EKS, EC2, S3, and Lambda.
 * Manage and maintain containerized workloads, edge equipment, and on-premise infrastructure.
 * Build and automate deployment pipelines using Terraform, Ansible, and Git-based workflows.
 * Develop and maintain scripts and software tools using Python, Bash, or Go.
 * Monitor, troubleshoot, and optimize production systems to ensure uptime, scalability, and security.
 * Support big data platforms and data engineering pipelines within Linux server environments.
 * Collaborate with cross-functional development teams to integrate applications into scalable cloud architectures.
 * Provide technical leadership, peer mentoring, and operational guidance across the engineering team.