> Markdown version of [/jobs/ext/3617123-mid-level-devops-engineer-265k-yr-ts](https://www.wearedevelopers.com/jobs/ext/3617123-mid-level-devops-engineer-265k-yr-ts). 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 [$265k/yr+] TS - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Experienced - **Salary:** $265,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Bash Shell, Big Data, Cloud Computing, Configuration Management, Continuous Integration, Data Infrastructure, Linux, DevOps, Python (Programming Language), Linux System Administration, Ansible, Scripting, System Availability, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Terraform - **Published:** October 8, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9222052/mid-level-devops-engineer-265kyr-ts ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 9+ years * Total Compensation: $265k+ yearly ## Description * Deploy and manage robust cloud and edge infrastructure using Kubernetes and AWS. * Automate CI/CD pipelines, configuration management, and infrastructure provisioning with Terraform and Ansible. * Deliver Linux systems administration, automation scripting in Python and Bash, and integration with Big Data platforms., * Design, deploy, and manage cloud infrastructure within AWS with a focus on EKS. * Build, configure, and sustain non-cloud and edge infrastructure on on-premise and portable hardware. * Automate deployment workflows and configuration management using Terraform and Ansible. * Administer, scale, and maintain containerized applications using Kubernetes. * Develop automation scripts and tools utilizing Python, Bash, or Go. * Monitor, maintain, and troubleshoot Linux production environments to ensure high availability and performance. * Collaborate with cross-functional development teams to integrate applications into cloud and data infrastructure. * Provide technical guidance and mentorship to engineering team members.