Software Engineer 3

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)

#MD_2026Alumni

#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:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA MD Annapolis Junction

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 

 

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.