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# Mid-Level Java Software Engineer [$278k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $278,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Systems Engineering, Code Review, Continuous Integration, DevOps, Python (Programming Language), PostgreSQL, MongoDB, NoSQL, Systems Development Life Cycle, Software Deployment, Software Engineering, Enterprise Software Applications, Spring-boot, Containerization, Machine Learning Operations, Docker
- **Published:** October 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9277221/mid-level-java-software-engineer-278kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 8+ years
 * Total Compensation: $278k+ yearly

## Description

* Develop, integrate, and maintain robust enterprise software solutions across the full software development lifecycle.
 * Utilize Java, Spring Boot, Python, PostgreSQL, and NoSQL databases to deliver high-performance applications.
 * Support application deployments, containerization with Docker, modern CI/CD practices, and comprehensive technical documentation., * Provide hands-on software engineering support throughout the full SDLC, including application development, integration, troubleshooting, deployment, and sustainment.
 * Design and enhance enterprise software using technologies such as Java, Spring Boot, Python, PostgreSQL, and MongoDB.
 * Collaborate closely with software developers, systems engineers, QA, and DevOps personnel to deliver reliable and maintainable solutions.
 * Support product installations, deployments, and continuous integration and continuous delivery (CI/CD) pipelines.
 * Conduct code reviews and resolve technical and system issues across development and operational environments.
 * Create and maintain architectural diagrams, process flows, deployment procedures, and related technical documentation.
 * Leverage modern practices in containerization, full life cycle development, and artificial intelligence/machine learning workflows.