Software Engineer 3

A Praxis Opportunity Praxis Engineering, a GDIT company, provides cutting-edge technology capabilities and unmatched expertise to deliver mission-critical solutions that drive impact and support customer needs. Clearance Level Top Secret SCI + Polygraph Category Software Engineering Location Annapolis Junction, Maryland ( Onsite Workplace ) Key Skills For Success Docker Container Linux Python (Programming Language) REQ#: RQ231146 Public Trust: None Requisition Type: Regular Your Impact Own your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description SOFTWARE ENGINEER PRINCIPAL Transform technology into opportunity as a Software Engineer Principal at GDIT. Shape what’s next for mission-critical government projects while shaping what’s next for your engineering career. MEANINGFUL WORK AND PERSONAL IMPACT The Software Engineer shall design, develop, deploy, and support Retrieval-Augmented Generation (RAG) solutions within a high-performance computing (HPC) Linux environment. The successful candidate will have hands-on experience with Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized applications. Candidates must be proficient in Python, Kubernetes, Helm, CI/CD automation, and secure SI system development, with the ability to deliver scalable, production-ready SI solutions in mission-critical environments. WHAT YOU’LL NEED TO SUCCEED Bring your engineering expertise along with a drive for innovation to GDIT. The Software Engineer Principal must have: Education: Bachelor of Science

Experience

8+ years of related experience Security clearance level: TS/SCI w/ Polygraph Position Required Skills Proven experience working in Linux environments, including advanced use of the Linux command-line interface (CLI) for development, troubleshooting, and system administration Recent hands-on software development experience using Python, with a strong understanding of modern software engineering practices and frameworks Experience with containerization technologies, such as Docker, Podman, and containerd, for application packaging, deployment, and lifecycle management Experience designing, authoring, and deploying Helm charts to manage Kubernetes-based applications and services Experience developing, testing, deploying, and supporting containerized applications in production environments. Experience creating, configuring, and managing Kubernetes resources, including Deployments, Services, ConfigMaps, Secrets, Ingresses, and Operators Working knowledge of Generative SI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, embedding models, and vector databases Experience implementing and maintaining CI/CD pipelines using tools such as GitLab CI/CD, Flux CD, GitLab Runners or similar tools Experience leveraging observability, metrics, logging, and monitoring solutions including Prometheus and Grafana Proficiency with Git-based source control workflows, including branching strategies, code reviews, pull/merge requests, and collaborative development practices Understanding of software development lifecycle (SDLC) best practices, including automated testing, security scanning, code quality analysis, and DevSecOps principles Position Desired Skills Familiar with developing, deploying, troubleshooting, and sustaining mission applications in an AWS Cloud environment Experience with the Atlassian suite of tools including Confluence and Jira Experience working with, and debugging, GPU-enabled applications Experience using a machine-learning framework (PyTorch, TensorFlow, etc) Experience with other ML pipelines/frameworks like KubeFlow, NeMo, PyTorch Lightning, etc. Experience working with and debugging GPU-enabled applications Experience with SQL, Elasticsearch, and Vector databases Knowledge of SI inferencing solutions such as Nvidia NIM/TRITON, vLLM, and direct deployment (e.g. Ray) GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities ��� Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive

benefits and wellness packages, 401K with company match, and competitive pay and paid time off Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in software development at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation. #MD_2026Alumni #IntelligenceEngineered #praxisjobs Work

Requirements Years of Experience 8 + years of related experience may vary based on technical training, certification(s), or degree Certification Travel Required None Citizenship U.S. Citizenship Required Salary and Benefit Information The likely salary range for this position is $175,950 - $238,050. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual

requirements and could fall outside of this range. Our Identity Verification Process As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency ac