$127,500 - $172,500; not specified; comprehensive ...
Hybrid
Kubernetes
Containerization (docker/podman)
Gpu scheduling
You will play a crucial role in the design, deploy, and operate secure, scalable AI inference and orchestration platforms supporting USCENTCOM’s Data Analytical Environment (DAE) and AI environment
Job Summary
You will play a crucial role in the design, deploy, and operate secure, scalable AI inference and orchestration platforms supporting USCENTCOM’s Data Analytical Environment (DAE) and AI environment.
This role supports the evolution of enterprise AI capabilities from foundational platforms to reusable, governed agent-based services.
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.
Matching Summary
You will play a crucial role in the design, deploy, and operate secure, scalable AI inference and orchestration platforms supporting USCENTCOM’s Data Analytical Environment (DAE) and AI environment.
Salary
$127,500 - $172,500; Not specified; Comprehensive benefits and wellness packages, 401K with company match
Skills & Requirements
Must-have
Kubernetes
containerization (Docker/Podman)
GPU scheduling
LLM inference services
Python and API development
vector databases integration
MLOps toolchains
secure DoW environments
Nice-to-have
RAG or agent-based AI architectures
Kubernetes-native workflow engines
cost tracking or usage metering
DoW AI governance
ethical AI and responsible deployment
Key Requirements
8+ years of related experience
Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent experience)
DoW Directive 8140 compliant certification
Active Secret clearance required
US Citizenship Required
Work Rights
Secret Clearance required; Top Secret/SCI eligible