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# nPrincipal Full-Stack Developer

- **Company:** Nabout Leidos
- **Location:** United States
- **Salary:** $131,300.0 - $237,350.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Signals Intelligence, Information Engineering, Data Stores, Data Warehousing, R (Programming Language), Python (Programming Language), Object-Oriented Software Development, Power BI, Systems Integration, Tableau (Software), Jupyter Notebook, Large Language Models, Prompt Engineering, Kubernetes, Apache Nifi, Machine Learning Operations, Docker
- **Published:** September 17, 2026
- **Apply:** https://jobs.military.com/career/338586/principal-full-stack-developer-maryland-md-fort-meade

## About the Role

solutions into the enterprise analytics ecosystem.\n

 * Technical Proficiency: Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery to include creating APIs and business intelligence analytics.\n
 * Qualifications: Bachelor's degree plus 11-years of relevant experience or equivalent. Strong proficiency with object-oriented languages (Python, Java, and R) and cloud computing, data engineering, business intelligence, and AI/ML operations, Jupyter Notebooks.\n
 * Security Clearance: Candidates must possess an active TS/SCI with Polygraph to be considered for this role.\n
 * Desirable Skills: Knowledge of SIGINT architectures, Apache NiFi dataflows, customer corporate tools and data repositories\n

## Description

* Mission Focus: Collaborate closely with customers to Design, develop, deploy, and sustain a production-ready Business Intelligence, data warehousing, and advanced analytics environment leveraging Python, Java, R, and AWS cloud technologies. The mission encompasses provisioning and configuring AWS resources; implementing enterprise data warehousing solutions; deploying and integrating Tableau and Power BI; developing core corporate dashboards and analytics; and enabling advanced analytics, analytic watermarking, sandbox environments, and pilot initiatives. The role also requires expertise in SIGINT architecture and NiFi dataflows, along with advanced MLOps capabilities to industrialize AI models through Docker containerization, Kubernetes orchestration, and automated end-to-end pipelines. Additionally, the mission focuses on optimizing Large Language Model (LLM) performance through advanced prompt engineering and integrating scalable, secure, and operationally effective AI


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