BUSCAMOS: Senior Python Cloud Engineer (Azure) Knowledge Requirements for New Developers1. Core ConceptsRAG (Retrieval-Augmented Generation) — the entire system is a RAG chatbot pipeline; understanding howretrieval, chunking, embedding, and generation work together is essentialMicroservice architecture — the system is composed of ~8 independent services communicating via HTTP and message queues2. PythonPython 3.11 (hard requirement for Azure Functions consumption plan)Flask — backend, chunker, converter, connector, and image processor are all Flask appsFastAPI — the evaluator service uses FastAPI with async supportStreamlit — the admin UI is built with StreamlitPoetry — dependency management across all servicesuv — used as an alternative Python package manager (Azure Functions)3. Azure Cloud ServicesAzure Blob Storage — document storage, evaluation results, crawled dataAzure AI Search (Cognitive Search) — vector/hybrid search index for document chunksAzure OpenAI — LLM inference (GPT-4, embeddings via text-embedding-3-large)Azure Document Intelligence (Form Recognizer) — PDF/document parsing and OCRAzure Container Apps — production hosting for all microservicesAzure Container Registry (ACR) — Docker image storage and buildAzure 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 controlAzure Application Insights — telemetry and loggingAzure CLI — deployment, ACR interactions, Container App updates4. Docker & ContainersDocker — every service has a Dockerfile; local developmentand production both use containersBuilding, running, and debugging containerized Python services5. Data Sources & CrawlingSharePoint Online — document library crawling with authConfluence — page and page-tree scraping with PATsWeb crawling — generic website crawling with depth control6. AI / ML EvaluationRAGAs framework — evaluation metrics (faithfulness, answer relevance, context precision/recall)LLM-as-judge — using GPT-4 to score answer qualityLocust — load/performance testing framework for the RAG API7. ObservabilityLangFuse — LLM observability and tracing platformApplication Insights — Azure-native telemetry8. Development ToolsVS Code — launch configurations, debug configs, tasksAzurite — local Azure Storage emulator (queues, blobs)Azure Functions Core Tools — local Azure Functions runtimeGit — 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% )
📌 Senior Python Cloud Engineer (Azure) - €250 - €290 A Day - Remoto (Madrid)
🏢 Humanify360
📍 Madrid
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