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# Senior Java Engineer [$335k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $335,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), C++ (Programming Language), Cloud Computing, Continuous Integration, Distributed Systems, Elasticsearch, Linux System Administration, Neo4j, NoSQL, Systems Development Life Cycle, Web Applications, Openapi, Spring-boot, Backend, Microservices
- **Published:** September 19, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9178491/senior-java-engineer-335kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 20+ years
 * Total Compensation: $335k+ yearly (tentative)

## Description

* Lead full-stack cloud software engineering and distributed systems development across the full SDLC in Linux environments.
 * Design, develop, and maintain high-performance backend services and microservices using Java, Spring Boot, C, and C++.
 * Architect and optimize graph data models in Neo4j and implement polyglot persistence with Elasticsearch.
 * Build CI/CD automation pipelines and implement comprehensive testing suites for mission-critical cloud applications., * Deliver end-to-end full-stack engineering services including requirements analysis, system design, and issue resolution.
 * Proactively diagnose complex technical issues and engineer sustainable enhancements to maximize system performance and reliability.
 * Design and implement distributed computing solutions utilizing massively parallel computation models and NoSQL architectures.
 * Develop and execute unit, integration, and end-to-end test plans and automated scripts.
 * Build, maintain, and automate CI/CD pipelines to deploy web applications into production environments.
 * Generate high-quality technical documentation, ontologies, schemas, and API specifications.
 * Collaborate effectively with cross-functional teams including data scientists, engineers, and product managers.


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