Cloud Infrastructure Engineer

Cloud Infrastructure Engineer

Seeking a Cloud Infrastructure Engineer to support our client located in Washington, DC.
The role is remote, but this person must be local to Washington DC/Northern VA/MD.
This is an open-ended contract that can convert to perm.

Overview:
* Lead the design, implementation, and operation of our cloud platforms and scalable infrastructure.
* Work as an integral part of an Agile Scrum team, supporting development within an innovative AI GPT technology.
* Infrastructure Architecture: Design and deploy secure, scalable cloud infrastructure across AWS, Azure, and Google Cloud Platform.
* Network Engineering: Implement and manage network gateways, P2P VPN connections, and cross-cloud networking solutions.
* DevSecOps: Build CI/CD pipelines, automate deployments, and enforce security compliance.
* RAG Pipeline Engineering: Design and maintain robust document ingestion, chunking, embedding, and vector database pipelines for AI knowledge retrieval systems.
* Infrastructure as Code: Develop and maintain Terraform, CloudFormation, and ARM templates.
* AI/ML Infrastructure: Support distributed AI workloads, model serving, and agentic architectures.
* Security & Compliance: Implement FedRAMP, NIST frameworks and PHI/PII protection measures.
* Monitoring & Operations: Deploy comprehensive logging, monitoring, and incident response systems.

Qualifications:
* U.S. Citizenship required - must pass federal background investigation for a Public Trust.
* Active Public Trust Clearance or Ability to obtain a Public Trust Clearance.
* Master's Degree and a minimum of 6 years of experience.
* 5+ years' experience cloud infrastructure engineering, with 3+ years in multi-cloud environments.
* Multi-cloud platforms (AWS, Azure, Google Cloud Platform) experience.
* Network gateways, VPN technologies (site-to-site, P2P), cross-cloud connectivity.
* CI/CD Expertise: Advanced proficiency in building, optimizing, and troubleshooting complex CI/CD pipelines.
* RAG Pipeline Engineering: Experience with document processing, embedding generation, vector databases (Pinecone, Weaviate, ChromaDB), and knowledge retrieval workflows.
* Infrastructure as Code (Terraform, CloudFormation).
* Container orchestration (Kubernetes, Docker).
* CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).
* Scripting (Python, Bash, PowerShell).
* Security frameworks (FedRAMP, NIST-800-53).
* Experience supporting AI/ML workflows including infrastructure for tool/function calling and agentic architectures.
* Strong scripting/coding skills (e.g., Python, Bash, Go).
* Familiarity with compliance frameworks relevant to healthcare or government.