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# Mid-Level AWS Cloud Software Engineer [$306k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $306,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Elasticsearch, Monitoring of Systems, Python (Programming Language), Scrum Methodology, Security Information and Event Management, AWS Lambda, Kubernetes, Deployment Automation, Kibana, Terraform, Devsecops, Serverless Computing, Docker, Microservices
- **Published:** July 17, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9033966/mid-level-aws-cloud-software-engineer-306kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 10+ years
 * Total Compensation: $306k+ yearly, * Proficiency with Docker, Kubernetes, AWS Lambda, Python.
 * Experience with Elasticsearch, Kibana, SIEM.
 * Experience with Terraform.
 * Experience working as part of an Agile development team.
 * Active TS/SCI security clearance with polygraph.
 * U.S. Citizenship.
 * Strong analytical, communication, and documentation skills.

## Description

* Develop, maintain, and enhance complex software systems with distributed microservices, Elasticsearch/OpenSearch analytics, and event-driven workflows.
 * Design, deploy, automate, and sustain scalable cloud-native capabilities across AWS and hybrid environments.
 * Leverage Kubernetes, AWS serverless technologies including AWS Lambda, Infrastructure as Code (Terraform), and modern DevSecOps practices.
 * Manage Kubernetes clusters, automate deployments, and collaborate in Agile scrum cycles.
 * Requires skills in Docker, Python, Kibana, and Communications/Technical Writing., * Design, deploy, and maintain secure AWS cloud infrastructure and on-premises environments utilizing Docker, Kubernetes, and related technologies.
 * Monitor system performance, cloud utilization, scalability, and operational health.
 * Configure and manage Kubernetes clusters.
 * Engineer solutions for automating deployments and all associated software configurations.
 * Participate in technical design sessions and develop detailed technical solutions.
 * Support proxy configuration to handle routing and management of user requests.
 * Evaluate and revise solutions for data redundancy and backup.
 * Evaluate opportunities for process improvements and automation as well as end-to-end deployment pipelines.
 * Confer with team members to obtain information on project limitations and capabilities, performance requirements and interfaces.


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