AI and Cloud Systems Administrator

Job Description
Elite Technical is seeking AI/Cloud Systems Administrator who will design, configure, and maintain cloud infrastructure on C2E, AWS, and Kubernetes to support AI-driven document vectorization, Model Context Protocol (MCP) servers, and RESTful API integrations. This role requires close collaboration with AI data engineers and system architects to ensure secure, scalable, and compliant infrastructure for mission-critical AI workflows.

Responsibilities include, but are not limited to:
- Configure AWS services (EC2, EKS, S3, RDS) to build scalable data pipelines for document vectorization using tools like LlamaIndex and vector stores like Qdrant.
- Deploy and manage Kubernetes clusters to host MCP servers, and local Large Language Models ensuring seamless integration with RESTful endpoints (OpenAI, OpenAPI, GraphQL).
- Implement security protocols (ABAC, PKI encryption) to comply with DIA CIO, NIST SP 800-53, and ICD 503 standards.
- Monitor system performance, troubleshoot issues, and optimize resource allocation for high-throughput AI workflows.
- Collaborate with AI engineers to ensure infrastructure aligns with data processing requirements.

This position is a full-time employment opportunity with our client, who recently was awarded the opportunity to build an AI prototype for their government client. This is an exciting opportunity to lead the charge for a cutting-edge government AI related project.

Required Skills

Required Qualifications:
Must be able to pass a Counterintelligence (CI) Polygraph (current CI Polygraph a plus).
- 8140 certified (e.g. Security +) and AWS certified (able to obtain a customer privileged user account)
- 5+ years of experience in cloud infrastructure management (AWS, Kubernetes).
- Proficiency in AI/ML workflows, document vectorization, and RESTful API integration.
- Strong understanding of security frameworks (ABAC, PKI encryption).
- Some Experience with tools like OpenWebUI, Ollama, vLLM, and MCP.

Education Qualifications: Bachelor-s degree or higher or equivalent experience

Years of Experience:
- 9+ years w/ High School Diploma
- 5+ years w/ Bachelor's Degree, Master-s Degree, or PhD

Desired Qualifications:
- Familiarity with DIA JWICS/C2S environments.
- Knowledge of vector databases (Qdrant, pgvector) and hybrid cloud architectures.