> Markdown version of [/jobs/ext/3142500-mid-level-devops-engineer-261k-yr-ts-sci](https://www.wearedevelopers.com/jobs/ext/3142500-mid-level-devops-engineer-261k-yr-ts-sci). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mid-Level DevOps Engineer [$261k/yr+] TS/SCI - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Experienced - **Salary:** $261,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Bash Shell, Big Data, Cloud Computing, DevOps, Python (Programming Language), Linux System Administration, Ansible, System Availability, Reliability of Systems, Containerization, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Terraform, Golang - **Published:** September 29, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9200090/mid-level-devops-engineer-261kyr-tssci ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 9+ years * Total Compensation: $261k+ yearly ## Description * Implement robust cloud and edge infrastructure solutions leveraging AWS and containerized environments. * Automate deployment processes and maintain CI/CD pipelines using Terraform, Ansible, Python, and Bash. * Provide technical leadership and guidance while supporting scalable architectures and big data solutions., * Support the development, deployment, and optimization of cloud infrastructure in AWS, with an emphasis on EKS. * Deploy, manage, and configure non-cloud edge infrastructure across on-premise and portable hardware. * Automate deployment workflows to maintain high availability, scalability, and system reliability. * Manage and maintain Kubernetes containers and configuration management tools including Terraform and Ansible. * Collaborate with cross-functional development teams to integrate applications smoothly into infrastructure. * Monitor production systems, identify bottlenecks, and resolve complex technical issues. * Develop infrastructure automation and tools utilizing languages such as Python, Bash, and Go in Linux environments. * Mentor and guide engineering team members, providing technical leadership across projects.