> Markdown version of [/jobs/ext/4484503-mid-level-devops-engineer-320k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/4484503-mid-level-devops-engineer-320k-yr-ts-sci-fs-poly). 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 [$320k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Herndon, VA, United States - **Experience:** Experienced - **Salary:** $320,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, Cloud Computing, Cloud Computing Security, Cloud Engineering, Continuous Integration, DevOps, Distributed Systems, Domain Name System (DNS), Enterprise Messaging Systems, RabbitMQ, Data Logging, System Availability, Delivery Pipeline, Grafana, Kubernetes, Infrastructure Automation Frameworks, Performance Monitor, Apache Kafka, Terraform - **Published:** October 31, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9275661/mid-level-devops-engineer-320kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 8+ years * Total Compensation: $320k+ yearly (tentative) ## Description * Architect, optimize, and maintain scalable cloud infrastructure on AWS utilizing Kubernetes and Terraform. * Implement distributed messaging systems using Kafka and RabbitMQ to support high-volume data alerting. * Streamline CI/CD deployment pipelines using DevOps practices and infrastructure automation. * Establish proactive monitoring, logging, and observability frameworks utilizing Grafana., * Architect and maintain resilient cloud infrastructure on AWS leveraging EKS, EC2, and S3. * Orchestrate containerized workloads using Kubernetes to ensure high availability and reliability. * Implement infrastructure as code with Terraform for automated provisioning and configuration. * Integrate and maintain messaging platforms like RabbitMQ and Kafka for large-scale data streams. * Design and optimize robust routing and DNS solutions across distributed environments. * Streamline CI/CD pipelines in collaboration with development teams to enhance operational efficiency. * Establish monitoring, metrics, and alerting frameworks with Grafana for proactive incident response. * Troubleshoot complex infrastructure issues while enforcing cloud security and automation best practices.