Sr. Cloud Infrastructure Engineer (AI & LLM Platforms)
Q6 Cyber
- Location
- REMOTE
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 2mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Guide AI architecture for leveraging AI tools with data stores
- Integrate AI tools into existing systems with other teams
- Design, deploy, and maintain MCP servers for LLM interaction
- Build and orchestrate sandboxed environments for AI agents
- Develop and manage infrastructure for internal RAG pipeline
- Deploy LLM-related tools using Kubernetes and IaC
- Implement guardrails for data privacy in LLM workflows
Requirements
- 5+ years of experience in DevOps, Platform Engineering, or SRE
- 1-2 years specifically focused on AI/ML infrastructure
- Proven track record of building production-grade RAG pipelines or LLM-integrated applications
- Experience in 'day zero' environments with evolving tools and protocols
- Deep understanding of LLM security implications (prompt injection, data leakage, secure tool execution)
- Experience working with substantial datasets (over 1bn objects, dozens or hundreds of TBs)
- Bachelor's degree or equivalent in computer science or related field
- Expertise in Python
- Experience with TypeScript/Node.js for MCP development
- Experience with Go
- Experience with AWS/GCP/Azure
- Experience with Kubernetes
- Experience with Terraform
- Experience with Helm
- Experience with LangChain
- Experience with LlamaIndex
- Experience with LangGraph
- Experience with Pinecone, Milvus, Qdrant, or pgvector
- Experience with Apache Kafka/Pulsar
- Experience with Elasticsearch/OpenSearch
- Experience with traditional SQL RDBMS
- Experience with Model Context Protocol (MCP)
- Experience with REST/gRPC
Skills
- AWS
- GCP
- Azure
- Kubernetes
- Terraform
- Helm
- LangChain
- LlamaIndex
- LangGraph
- Pinecone
- Milvus
- Qdrant
- pgvector
- Apache Kafka
- Pulsar
- Elasticsearch
- OpenSearch
- SQL
- Python
- TypeScript
- Node.js
- Go
- MCP
- REST
- gRPC
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