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 GCP. • 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, GCP) 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.