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# Mid-Level Cloud Software Engineer [$269k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $269,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Static Program Analysis, Linux, Elasticsearch, Monitoring of Systems, Python (Programming Language), Log Analysis, Prometheus, Data Logging, Data Processing, Delivery Pipeline, Grafana, Containerization, Kubernetes, Rancher, Apache Kafka, Terraform, Automation Anywhere
- **Published:** October 15, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9236140/mid-level-cloud-software-engineer-269kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 8+ years
 * Total Compensation: $269k+ yearly

## Description

* Develop and maintain Infrastructure as Code using Terraform in an AWS cloud environment.
 * Manage and orchestrate containerized workloads utilizing Kubernetes and Rancher.
 * Build Python-based automation tools and agentic AI processing workflows.
 * Maintain robust CI/CD pipelines and streamline deployments across Linux systems.
 * Support system observability, log analytics, and metrics tracking using Elasticsearch, Kafka, Prometheus, and Grafana., * Develop and maintain Infrastructure as Code using Terraform within an AWS stack.
 * Create and optimize CI/CD pipelines to streamline deployments and automate testing across multiple environments.
 * Utilize Kubernetes and Rancher to manage containerized workloads and orchestrate infrastructure components.
 * Develop Python-based applications and tools to support agentic data processing and improve AI workflows.
 * Execute automated agentic triage workflows from initial issue discovery through logging and final code analysis.
 * Collaborate with partner teams to analyze requirements and deliver solutions adhering to strict security and compliance standards.
 * Implement observability and metrics tracking with Elasticsearch, Kafka, Prometheus, and Grafana.