Type of Requisition:
Regular
Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph
Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph
Public Trust/Other Required:
None
Job Family:
Software Engineering
Job Qualifications:
Skills:
Docker Container, Linux, Python (Programming Language) Certifications:
None Experience:
8 + years of related experience US Citizenship Required:
Yes
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.
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