> Markdown version of [/jobs/ext/4549602-senior-devops-engineer-305k-yr-ts-sci](https://www.wearedevelopers.com/jobs/ext/4549602-senior-devops-engineer-305k-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). --- # Senior DevOps Engineer [$305k/yr+] TS/SCI - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Expert - **Salary:** $305,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Automation of Tests, Bash Shell, Big Data, Cloud Computing, Linux, DevOps, Elasticsearch, Python (Programming Language), PostgreSQL, Linux System Administration, Ansible, System Availability, Apache Spark, Containerization, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Apache Kafka, Terraform - **Published:** November 3, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9284296/senior-devops-engineer-305kyr-tssci ## About the Role * Degree: Technical master's degree or equivalent experience * Years of experience: 14+ years * Total Compensation: $305k+ yearly ## Description * Deploy and maintain scalable cloud and edge infrastructure utilizing Kubernetes, AWS, Terraform, and Ansible. * Build robust automation and CI/CD pipelines to guarantee high availability and service reliability. * Provide senior-level technical leadership and mentorship while overseeing complex Linux environments and big data integrations., * Architect, deploy, and maintain cloud infrastructure in AWS, with a primary focus on EKS and core AWS services. * Support deployment and maintenance of on-premise and portable edge infrastructure. * Automate infrastructure provisioning and deployment processes using Terraform, Ansible, and GitOps tools. * Develop and maintain automation scripts and applications using Python, Bash, or Go. * Monitor, troubleshoot, and maintain production Linux systems and containerized workloads. * Support integration of big data technologies such as Kafka, Spark, Elasticsearch, and PostgreSQL. * Serve as a technical lead and mentor to engineering team members while promoting Agile best practices.