Benefits:

401(k)

Competitive salary

Health insurance

This position is 100% remote, but we need someone in the Washington DC/Northern VA/MD area.

Will consider W-2, 1099 and C2C (with selected individual)

Job Description:

We’re seeking an experienced Cloud Infrastructure Engineer to lead the design, implementation, and operation of our cloud platforms and scalable infrastructure. You will work as an integral part of an Agile Scrum team, supporting development within an innovative AI GPT technology.

Key Responsibilities:

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

Required Qualifications and Experience:

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

Clearance: Active Public Trust or ability to obtain

Required Technical Skills:

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)

Additional Technical Skills:

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.

This is a remote position.