Senior Python Cloud Engineer (Azure)

BUSCAMOS: Senior Python Cloud Engineer (Azure)

Knowledge Requirements for New Developers

1. Core Concepts

• RAG (Retrieval-Augmented Generation) the entire system is a RAG chatbot pipeline; understanding how retrieval chunking embedding and generation work together is essential
  
• Microservice architecture the system is composed of 8 independent services communicating via HTTP and message queues
  

2. Python

• Python 3.11 (hard requirement for Azure Functions consumption plan)
  
• Flask backend chunker converter connector and image processor are all Flask apps
  
• FastAPI the evaluator service uses FastAPI with async support
  
• Streamlit the admin UI is built with Streamlit
  
• Poetry dependency management across all services
  
• uv used as an alternative Python package manager (Azure Functions)
  

3. Azure Cloud Services

• Azure Blob Storage document storage evaluation results crawled data
  
• Azure AI Search (Cognitive Search) vector/hybrid search index for document chunks
  
• Azure OpenAI LLM inference (GPT-4 embeddings via text-embedding-3-large)
  
• Azure Document Intelligence (Form Recognizer) PDF/document parsing and OCR
  
• Azure Container Apps production hosting for all microservices
  
• Azure Container Registry (ACR) Docker image storage and build
  
• Azure Functions queue-triggered indexing pipeline (blob convert chunk embed index)
  
• Azure Queue Storage async messaging between services (indexing queue poison queue)
  
• Azure EntraID authentication and role-based access control
  
• Azure Application Insights telemetry and logging
  
• Azure CLI deployment ACR interactions Container App updates
  

4. Docker & Containers

• Docker every service has a Dockerfile; local development and production both use containers
  
• Building running and debugging containerized Python services
  

5. Data Sources & Crawling

• SharePoint Online document library crawling with auth
  
• Confluence page and page-tree scraping with PATs
  
• Web crawling generic website crawling with depth control
  

6. AI / ML Evaluation

• RAGAs framework evaluation metrics (faithfulness answer relevance context precision/recall)
  
• LLM-as-judge using GPT-4 to score answer quality
  
• Locust load/performance testing framework for the RAG API
  

7. Observability

• LangFuse LLM observability and tracing platform
  
• Application Insights Azure-native telemetry
  

8. Development Tools

• VS Code launch configurations debug configs tasks
  
• Azurite local Azure Storage emulator (queues blobs)
  
• Azure Functions Core Tools local Azure Functions runtime
  
• Git branching model: dev/ dev/featureX PR to main
  

Idioma

Español

Inglés C1

OFRECEMOS:

Contrato en modalidad Freelance Full time

Oferta económica: 250/290 jornada IVA (según experiencia aportada)

Proyecto de larga duración

Localización: España (Teletrabajo 100% )