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# Senior Software Developer

- **Company:** Meridian
- **Location:** Springfield, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Systems Engineering, Automation of Tests, Cloud Computing, Cloud Engineering, Complex Networks, Computer Engineering, Continuous Integration, Data Transformation, Data Visualization, DevOps, Python (Programming Language), OpenShift, Scrum Methodology, Scala (Programming Language), Software Engineering, Software Vulnerability Management, Cloud Platform System, Feature Engineering, Delivery Pipeline, Large Language Models, Software Security, Generative AI, Git Flow, Kubernetes, Information Technology, Restful APIs, Data Pipelines, Devsecops, Docker, Vulnerability Analysis, Microservices
- **Published:** August 17, 2026
- **Apply:** https://www.wayup.com/i-j-Senior-Software-Developer-Meridian-Systematics-019681369258415/

## About the Role

Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.
U.S. Citizenship.
Experience: 8+ years of software engineering experience (or 14+ years in IT in lieu of a degree).
Education: B.S. in Computer Science, Computer Engineering, Systems Engineering, or related field.
Core Languages: Strong hands-on proficiency with Python, Java, and Scala.
AI & Data: Direct experience building LLM-enabled workflows, RAG systems, RESTful APIs, and managing complex data transformations.
DevOps & Cloud: Demonstrated experience with Docker, Kubernetes/OpenShift, AWS, Git workflows, CI/CD, and DevSecOps security scanning.
Collaboration: Strong troubleshooting skills with a track record of cross-functional team collaboration and technical communication.
Desired
Experience with graph-based data models, ontologies, and data visualization.
Proven experience presenting technical metrics to stakeholders and mentoring junior engineers.

## Description

We are seeking a Senior Software Developer with deep AI expertise to design, build, and scale mission-focused applications. In this role, you will lead the integration of Generative AI workflows, data pipelines, and cloud-native DevSecOps architectures within an Agile Scrum environment.
Key Responsibilities
AI & Feature Engineering: Design and deploy Generative AI features (LLMs, RAG, ontology-based applications) and integrate multi-stream data pipelines.
Cloud & Modern Infrastructure: Lead cloud platform migrations (AWS, OpenShift, Kubernetes), implement microservices with Docker/Helm, and ensure secure deployment across complex networks.
Full-Lifecycle Development: Maintain robust CI/CD pipelines, practice DevSecOps (code hardening, vulnerability remediation, automated testing), and write clean, maintainable code using Python, Java, or Scala.
Agile Execution & Leadership: Active participation in Scrum ceremonies, refine user stories, maintain repositories, and mentor junior developers.


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