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# Senior Software Developer (NLP) with Security Clearance

- **Company:** Parsons Corporation
- **Location:** Aberdeen, MD, United States
- **Experience:** Expert
- **Salary:** $103,500.0 - $181,100.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Code Review, Computer Engineering, Continuous Integration, Data Validation, Software Debugging, Software Design Patterns, Text Processing, Python (Programming Language), Natural Language Processing, Named Entity Recognition, Software Architecture, Regression Testing, Search Technologies, Software Construction, Software Engineering, Software Systems, ReactJS, Large Language Models, System-level Testing, Containerization, Kubernetes, Information Technology, Data Analytics, Transformer Architectures, Machine Learning Operations, Text Analysis, Software Coding, GPT, Software Version Control, Devsecops, Docker, Golang, Programming Languages
- **Published:** November 6, 2026
- **Apply:** https://www.adzuna.com/details/5817972766

## About the Role

Education * Bachelor's degree in Computer Science, Electronics Engineering, or other engineering or technical discipline is required with 5 years of experience OR

 * 8 years of relevant software development experience may be substituted for education
Experience * Experience creating logical and functional software code in multiple programming languages

 * Experience understanding and clearly articulating the benefits and risks of different coding languages in different functional environments
 * Experience reacting to software problems and correcting programs as necessary in complex or mission-critical systems
 * Experience integrating or supporting NLP or text-analytics capabilities in production or mission-focused software systems
Technical Competencies * Proficiency in one or more modern programming languages (e.g., Python, C++, Java, C#, Go, or similar), with working knowledge of others

 * Strong grasp of software engineering best practices, including design patterns, code reviews, version control, and CI/CD workflows
 * Demonstrated ability to troubleshoot and resolve complex software defects efficiently
 * Familiarity with NLP concepts and tools such as tokenization, embeddings, transformer models, and vector search, and with common NLP frameworks or libraries
 * Strong analytical and communication skills, capable of explaining technical and NLP-related trade-offs to both technical and non-technical stakeholdersSecurity & Citizenship * Must be a US Citizen
 * SECRET security clearance
What Desired Skills You'll Bring
Advanced Education & Certifications * Bachelor's or higher degree in Computer Science, Computer Engineering, or related discipline

 * Relevant certifications in software architecture, cloud platforms, AI/ML, or DevSecOps
Specialized Experience * Experience supporting DoD, defense, or C-UAS-related software systems

 * Experience with distributed, real-time, or high-availability systems
 * Experience applying NLP in operational, defense, or intelligence contexts (e.g., processing reports, chat/voice transcripts, or multilingual text sources)
Additional Technical Skills * Experience with containerization (Docker), orchestration (Kubernetes), and cloud-native development

 * Experience with NLP/ML ecosystems and tools (e.g., transformer-based frameworks, vector databases, or LLM APIs) and related deployment patterns

## Description

Advanced Software Design & Development * Create logical and functional software code in a variety of programming languages to support Drone Armor capabilities

 * Lead the design and implementation of software components, services, and interfaces based on system and mission requirements
 * Ensure solutions are robust, secure, maintainable, and aligned with program architecture and coding standards
 * Design and implement services and pipelines that incorporate NLP models and text processing components into C-UAS workflows (e.g., analysis of communications, reports, or operator inputs)
NLP Integration & Applied AI * Collaborate with data scientists and ML/NLP engineers to integrate NLP models into production systems

 * Implement and optimize NLP pipelines for tasks such as classification, entity extraction, summarization, translation, or intent detection, as required by mission needs
 * Integrate large language models and other NLP components via APIs or model-serving infrastructure, ensuring performance, reliability, and security
 * Work with stakeholders to translate mission and operational requirements into concrete NLP features and user-facing capabilities
Technology Evaluation & Trade-Offs * Understand and articulate the benefits and risks associated with different coding languages and frameworks in various functional environments

 * Recommend appropriate languages, tools, and design patterns based on performance, security, maintainability, and integration needs
 * Evaluate and recommend NLP libraries, frameworks, and platforms (e.g., transformer-based toolkits, vector databases, or text analytics services)
 * Provide technical guidance to developers on language and framework selection, coding practices, architectural decisions, and NLP integration strategies
Troubleshooting, Debugging & Quality * React to software problems quickly and effectively, correcting code and related configurations as necessary

 * Debug complex issues across multiple layers (application, service, interface, data) and environments (development, integration, field)
 * Diagnose and resolve issues specific to NLP-enabled features, including latency, accuracy, unexpected outputs, and integration failures
 * Support and refine unit, integration, and system-level tests, including tests for NLP components (e.g., input validation, model behavior checks, regression tests on text datasets) to validate functionality and prevent regressions
Leadership & Collaboration * Serve as a senior technical resource within the development team, mentoring junior and mid-level developers

 * Coach team members on best practices for integrating NLP capabilities into existing architectures and workflows
 * Collaborate with systems engineers, test engineers, data scientists, NLP/ML engineers, and field personnel to resolve issues and improve system performance
 * Contribute to technical reviews, design walkthroughs, and continuous improvement of development and AI/NLP integration practices