ZipRecruiter
Senior Cloud Infrastructure Engineer
ZipRecruiter, Washington, District of Columbia, us, 20022
Job DescriptionJob Description 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 , 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.
#J-18808-Ljbffr
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 , 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.
#J-18808-Ljbffr