> Markdown version of [/jobs/ext/1432140-devops-engineer-ai-genai-platform](https://www.wearedevelopers.com/jobs/ext/1432140-devops-engineer-ai-genai-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer - AI/GenAI Platform - **Company:** Social you - **Location:** Spain - **Contract:** Apprenticeship - **Skills:** Amazon S3, Continuous Integration, Github, Identity and Access Management, Python (Programming Language), Datadog, Delivery Pipeline, Large Language Models, AWS Lambda, Backend, Kubernetes, Cloudwatch, Api Gateway, Terraform, Docker - **Published:** July 25, 2026 - **Apply:** https://socialyou.es/devops-engineer-ai-genai-platform-aws/ ## About the Role * Experiencia en servicios AWS: Lambda, API Gateway, IAM, S3 y al menos un servicio de IA (Bedrock o SageMaker). * Python para desarrollo de componentes e integraciones. * Experiencia con Terraform para aprovisionar infraestructura. * Conocimiento de CI/CD (GitHub Actions o similar). * Inglés C1. Deseable: * Docker/Kubernetes. * Conocimientos de conceptos de ML/LLM. * Herramientas de monitoría (CloudWatch, Datadog). ## Description Implementar, automatizar y asegurar la infraestructura en AWS para desplegar y operar cargas de trabajo de IA Generativa (GenAI) en un entorno productivo, escalable y seguro., * Implementar y gestionar infraestructura en AWS para GenAI (Lambda, API Gateway, DynamoDB, Bedrock, Sagemaker, S3, IAM). * Desarrollar componentes GenAI reutilizables en Python. * Gestionar infraestructura como código con Terraform. * Crear y mantener pipelines CI/CD con GitHub Actions. * Implementar políticas de seguridad y acceso IAM robustas. * Colaborar con equipos de ciencia de datos y backend. ## Related Videos - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [The OpenTelemetry mistakes I keep seeing (and how to stop making them)](https://www.wearedevelopers.com/videos/100158-the-opentelemetry-mistakes-i-keep-seeing-and-how-to-stop-making-them) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)