Job Title: Cloud Infrastructure Engineer
Location: Remote (Must reside in the Washington DC / Northern VA / Maryland area)
Duration: 9 Months (Likely to Extend)
We are seeking a highly skilled Cloud Infrastructure Engineer to join a high-impact Agile Scrum team working on advanced AI and GPT-driven technologies. In this role, you will design, deploy, and manage secure, scalable cloud infrastructure across AWS, Azure, and GCP, enabling mission-critical applications and next-gen knowledge retrieval systems.
Cloud Architecture: Architect and deploy secure, scalable infrastructure across public cloud platforms (AWS, Azure, GCP)
Networking: Implement and manage network gateways, cross-cloud connectivity, and P2P/VPN setups
DevSecOps: Develop and maintain CI/CD pipelines, enforce automated security compliance
RAG Pipelines: Engineer robust document ingestion, embedding, and vector database pipelines for AI knowledge systems
IaC (Infrastructure as Code): Build and maintain templates using Terraform, CloudFormation, and ARM
AI/ML Infrastructure: Support distributed training/inference workloads and agentic systems
Security & Compliance: Apply FedRAMP, NIST 800-53, and data protection standards (PHI/PII)
Operations & Monitoring: Deploy logging, monitoring, and incident response frameworks
Active Public Trust Clearance or eligibility to obtain one
Master’s Degree with 6+ years of IT experience
Minimum 5 years in cloud infrastructure engineering
3+ years experience with multi-cloud environments (AWS, Azure, GCP)
Cloud platforms: AWS, Azure, GCP
Networking: VPN (site-to-site, P2P), cross-cloud routing
CI/CD: GitHub Actions, Jenkins, Azure DevOps
Infrastructure as Code: Terraform, CloudFormation, ARM
RAG Pipelines: Experience with document processing, embedding generation, vector DBs (e.g., Pinecone, ChromaDB, Weaviate)
Scripting: Python, Bash, PowerShell
Containers: Kubernetes, Docker
Security: Familiarity with FedRAMP, NIST 800-53 compliance