Software Engineer 3
Quick Summary
Skills:Docker Container, Linux,
Clearance Level Must Currently Possess:
Top Secret SCI + PolygraphClearance Level Must Be Able to Obtain:
Top Secret SCI + PolygraphJob Family:
Software EngineeringRequirements
~1 min readJob 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
- 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
- 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.
#IntelligenceEngineered
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.Scheduled Weekly Hours:
40Work Location:
USA MD Annapolis JunctionAdditional Work Locations:
Location & Eligibility
About this job
- Pay per year
- $175,950–$238,050 a year
- 8% above the $191,682 median for Software Engineer jobs on Jobera (6,367 salaries).
- Posted
- Today
Listing Details
- Posted
- October 23, 2026
- First seen
- October 23, 2026
- Last seen
- October 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 23, 2026
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