3 publicaciones de empleo destacadas de backend devops en madrid, md (¡Están contratando!)

AI engineer
EY —Madrid, Madrid provincia
- Español
- Azure
- Informática
Lead Instructor Full Stack (part time)
The Bridge —Madrid, Madrid provincia
- Media jornada
- DevOps
- JavaScript
- Desarrollo de software
Solicitud rápida
Platform Architect
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- DevOps
- Inglés
Solicitud rápida
1d

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Lead Instructor Full Stack (part time)
The Bridge —Madrid, Madrid provincia
Experiencia/background tecnológico, en roles relacionados con con Desarrollo de software y web full stack (Frontend, Backend, Cloud, DevOps, etc).
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AI engineer

EY -
Madrid, Madrid provincia

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Detalles del empleo

Cualificaciones

CI/CD
Español
Elasticsearch
Azure
Arquitectura Cloud
Node.js
Derecho
Informática
React
Ansible
DevOps
Microsoft SQL Server
NoSQL
Git
Inglés
MongoDB
Java
Máster
Docker
Grado
JavaScript
PostgreSQL
Angular
Django
Desarrollo de software
APIs
Cloud
Solr
Inteligencia artificial
Jenkins
Habilidades de comunicación
Python

Descripción completa del empleo

Location: Madrid

Other locations: Primary Location Only

Salary: Competitive

Date: 30 Jul 2026

Job description

Requisition ID: 1657218

About Us

At EY wavespace Madrid - AI & Data Hub, we are a diverse, multicultural team at the forefront of technological innovation, working with cutting-edge technologies like Gen AI, data analytics, robotics, etc. Our center is dedicated to exploring the future of AI and Data.

What We Offer

Join our Data & AI Hub, where you will have the chance to work in a vibrant and collaborative environment. You will engage directly with Gen AI and Agentic AI solutions, where you'll leverage cutting-edge technologies to drive innovation and transform business insights. Our team supports your growth and development, providing access to the latest tools and resources. We are looking for a Senior AI Engineer to design, develop, and deploy cutting-edge AI-powered software solutions. The ideal candidate combines strong software engineering expertise with hands-on experience in cloud (Microsoft Azure) environments and the integration of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and modern database systems.

Key Responsibilities

Design and implement scalable, secure, and maintainable full-stack applications.
Integrate LLMs and RAG architectures into production systems using APIs or custom frameworks.
Build and manage data pipelines and vector databases to support AI-driven functionalities.
Develop backend services using Python/Django, NodeJS, or Java Spring Boot.
Create rich, interactive frontends using Angular 16+ (preferred), React, or Vue.js.
Design and consume RESTful and SOAP APIs.
Deploy and monitor applications in Azure Cloud, leveraging Azure services for AI, data, and DevOps.
Collaborate with product teams to define requirements, propose architectures, and ensure solution quality.
Contribute to best practices in code quality, testing, CI/CD, and infrastructure automation.

Key Requirements & Experience

Expertise in server-side technologies: Python/Django, NodeJS, or Java Spring Boot.
Proficiency in frontend technologies: JavaScript, TypeScript, and frameworks such as Angular 16+ (preferred), React, or Vue.
Experience with SOAP/RESTful API design and integration.
Proficiency in version control (Git) and collaborative development practices.
Strong understanding of Microsoft tech stack and Azure Cloud services.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Minimum 4 years of professional experience in software development.
Fluency in English and Spanish with strong written and verbal communication skills.

Nice to have:

Experience with containerization and CI/CD pipelines (Docker, Jenkins, Kubernetes, Ansible, OpenShift).
Database management: SQL Server, PostgreSQL, MariaDB.
Knowledge of NoSQL databases: MongoDB, Elasticsearch, CosmosDB, Solr.
Cloud architecture and deployment expertise (preferably Azure).
Familiarity with Azure AI Services (OpenAI Service, Cognitive Search, etc.).
Azure / Microsoft certifications (AZ-204, AZ-400, AI-102, etc.).
Understanding of DevOps principles and methodologies.
Experience implementing LLM-based systems and RAG pipelines for enterprise use cases.

Our commitment to diversity & inclusion

We are genuinely passionate about inclusion and we support individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.

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