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.
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
- 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