Trabajo Ingeniero DevOps Amazon Web Service (AWS)

Estás son las últimas ofertas de trabajo de Ingeniero DevOps Amazon Web Service (AWS) encontradas.

 empleos encontrados

  • 18/11/2025

    Andalucía, Aragón, Asturias, País Vasco, Cantabria, Castilla y León, Castilla-La Mancha, Cataluña, Extremadura, Galicia, La Rioja, Madrid, Murcia, Navarra, Comunidad Valenciana, No peninsular

    Description: in GP DIGITAL are seeking a dynamic and skilled AI Consultant to join our team. The ideal candidate will have a strong technical background in AI technologies, cloud platforms, and automation frameworks, with a focus on hands-on delivery and implementation. Key Responsibilities: Design and implement AI solutions leveraging public and private cloud platforms (AWS, Azure, Google Cloud, Oracle, etc.). Work on multi-agent frameworks and large language model orchestration. Build and deploy Retrieval-Augmented Generation (RAG) systems, embeddings, and vector databases. Utilize AI/data science platforms, MLOps tools, and NLP pipelines to deliver scalable AI solutions. Develop and integrate Python-based backend APIs for AI applications, with a focus on API Integration and Development. Deliver containerized solutions using Kubernetes, OpenShift, service mesh, and CI/CD pipelines. Implement and work with frameworks such as Langraph, Langchain, and CrewAI to enhance AI capabilities. Collaborate with teams to ensure successful delivery of AI projects. Stay updated on market trends in cloud, AI, and on-premises data centers to provide insights during delivery. Support IT Operations (ITOPS) and infrastructure managed services during implementation. Key Strengths & Skills: AI/GenAI/Agentic Expertise: Hands-on experience with multi-agent frameworks and large language models. Knowledge of RAG architectures, embeddings, and vector databases. Proficiency in frameworks like Langraph, Langchain, and CrewAI. Development & Automation Strong development background in Python, Java, and Microservices. Proficiency in API Integration and Development for AI applications. Familiarity with containerized deployments (Kubernetes, OpenShift), service mesh, and CI/CD pipelines. Knowledge of Ansible Automation, Azure DevOps, Rundeck, serverless architectures, SaaS, PaaS, and IaaS. Cloud & Infrastructure Expertise: 2-3 years of experience in cloud and on-premises infrastructure technologies. 1-2 years of experience working in AI and automation. Experience with AWS AKS, Microsoft Azure AKS, and other cloud-native services. Soft Skills: Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. English proficiency at C1 level or higher. Qualifications: Bachelor's degree in Computer Science, Engineering, or equivalent experience. Proven experience in delivering AI and cloud-based solutions. Certifications in cloud platforms and AI technologies are a plus." ¿Qué ofrecemos? Salario competitivo en función de la experiencia Contrato indefinido u Opción de Contrato Mercantil 22 días laborables de vacaciones Plan de retribución flexible: Seguro médico, cheques guardería, cheques transporte Formación en Tecnología y Soft Skills Buen ambiente de trabajo, innovador, abiertos e inclusivos Programa de referidos: 500 EUR por candidatos recomendados que se incorporen con nosotros' Conditions Model Full-Remote Location SPAIN En cuanto a nosotros .. Grupo Digital Somos un grupo de empresas tecnológicas, formado actualmente por unos 150 profesionales, en distintas áreas: desarrollo, sistemas, ingeniería automática, consultoría. inteligencia artificial, proyectos cloud, big data, ... Puedes ampliar informacion de la compañia en nuestra web www.grupodigital.eu Minimum requirements: #AI #Langraph #Langchain #Python

  • 06/11/2025

    Madrid

    Description: As a Senior Python Software Engineer, you will design and implement microservices-based architectures using Python and modern frameworks like FastAPI. You'll be responsible for containerization, API design, and integration with cloud services. You'll also contribute to the development and deployment of AI/GenAI services in production environments. Key Responsibilities: Design, develop, and maintain microservices using Python and frameworks like FastAPI. Build APIs with OpenAPI specifications, and handle inter-service communication via REST and gRPC. Containerize applications using Docker, manage services using Docker Compose, and deploy via Kubernetes (pods, deployments, services, configmaps, secrets). Collaborate with AI Engineers to expose ML/GenAI models as scalable, production-ready services. Integrate and orchestrate GenAI components using frameworks such as LangChain and LangGraph. Manage CI/CD pipelines and collaborate with DevOps teams to ensure smooth delivery and operations. Monitor and troubleshoot production systems, ensuring high reliability and performance. Write clean, maintainable, and well-documented code with automated test coverage. Must-Have Skills 2+ years of professional experience as a Software Engineer. Strong Python development skills and deep understanding of backend architectures. Experience applying design patterns. Proven experience designing and implementing microservices using FastAPI, REST/gRPC, and OpenAPI standards. Hands-on experience with Docker and containerization workflows. Familiarity with software engineering best practices: version control, testing, code reviews, and CI/CD. Excellent communication skills in English (B2/C1 level). Nice-to-Have Skills Experience working with GenAI frameworks such as LangChain and LangGraph to build and manage intelligent applications. Experience with AWS (S3, EC2, Lambda, API Gateway). Exposure to AI/ML/GenAI services and the deployment of ML models as APIs. Familiarity with DevOps tools and practices: GitHub Actions, AWS CodePipeline, Terraform, CDK. Experience with Kubernetes (pods, services, deployments, configmaps, secrets). Experience working in regulated industries (e.g., financial services). About Grupo Digital We are a technology consulting firm based in Madrid. We specialize in IT outsourcing, recruitment, and Talent-as-a-Service models, focusing on large integrators and companies in the financial and digital sectors. We are committed to excellent service, autonomous teams, and measurable results. If you enjoy working with cutting-edge technologies and in empowering environments, you'll find your place here.

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