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# Senior Full-Stack Engineer [$290k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $290,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Automation of Tests, Software Quality, Monitoring of Systems, JQuery, Python (Programming Language), Prometheus, Web Applications, Web Application Frameworks, ReactJS, Grafana, Containerization, Kubernetes, Dynamic Data, Restful APIs, Data Pipelines, Docker, Elk Stack, Microservices
- **Published:** September 19, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9178536/senior-full-stack-engineer-290kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 14+ years
 * Total Compensation: $290k+ yearly (tentative)

## Description

* Design, develop, and deploy scalable web application architectures and RESTful APIs using Python or Java.
 * Containerize microservices with Docker and orchestrate distributed workloads on Kubernetes clusters.
 * Build data processing pipelines and deliver interactive dashboards using modern web frameworks such as React.
 * Implement automated testing frameworks and manage CI/CD pipelines with monitoring via Prometheus and Grafana., * Architect, develop, and maintain scalable web applications and RESTful microservices using Python or Java.
 * Build, deploy, and manage containerized services using Docker and Kubernetes clusters.
 * Architect and implement robust data pipelines to ingest, process, and deliver data across systems.
 * Develop interactive dashboards and dynamic data visualizations utilizing modern frameworks like React and jQuery.
 * Design, manage, and optimize CI/CD pipelines to ensure continuous and reliable delivery.
 * Create and execute unit, integration, and end-to-end automated tests to maintain high software quality.
 * Deploy, monitor, and support production systems using monitoring tools such as Prometheus, Grafana, and the ELK stack.
 * Collaborate cross-functionally with data scientists, engineers, and product stakeholders to solve complex challenges.


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