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# Software Engineer [$305k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Salary:** $305,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Software Applications, Cloud Computing, Cloud Computing Security, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Microsoft Message Queuing, Network Protocols, NoSQL, Performance Tuning, Software Deployment, Software Engineering, Software Systems, AWS Cdk, Spring Cloud, Containerization
- **Published:** August 5, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9074349/software-engineer-305kyr-tssci-fs-poly

## About the Role

Degree: Technical bachelor's degree or equivalent experience
Years of experience: 8+ years
Salary: $305k+ yearly compensation

## Description

* Design, develop, and deploy advanced software solutions leveraging deep networking expertise within secure cloud environments.
 * Implement cloud-native applications using Python and a comprehensive suite of AWS services.
 * Utilize modern development practices including containerization and infrastructure as code (IaC) with AWS CDK.
 * Focus on building scalable, reliable, and high-performance systems in a dynamic cloud setting., * Architect, develop, and maintain robust software applications using Python.
 * Design, implement, and optimize network protocols and solutions within cloud infrastructure.
 * Utilize core AWS cloud services including Lambda, S3, Batch, EC2, and EventBridge for application development and deployment.
 * Implement messaging and notification services using AWS SQS/SNS.
 * Manage and configure access controls and permissions through AWS IAM.
 * Design, develop, and manage NoSQL database solutions, specifically with AWS DynamoDB.
 * Leverage containerization technologies for application deployment and scaling.
 * Implement infrastructure as code (IaC) using AWS Cloud Development Kits (CDK).
 * Collaborate on system design, performance tuning, and troubleshooting of cloud-based systems.


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