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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineering Analyst - **Company:** Local Compliancesantander - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, DevOps, Github, Python (Programming Language), Node.Js, Software Architecture, RabbitMQ, Reliability Engineering, Software Engineering, Systems Integration, TypeScript, Google Cloud, Cloud Platform System, ReactJS, Retrieval-Augmented Generation, Large Language Models, Spring-boot, Backend, Event Driven Architecture, Containerization, AngularJS, Gitlab-ci, Kubernetes, Information Technology, Apache Kafka, Graphql, Machine Learning Operations, Front End Software Development, Restful APIs, Terraform, Docker, Jenkins, Microservices - **Published:** September 16, 2026 - **Apply:** https://www.recruit.net/job/ai-software-engineering-analyst-jobs/E7701F25EC47366D ## About the Role Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Professional Experience5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles. (Required)Proven experience supporting across: software architecture, technical design, backend/frontend development, systems integration, testing, deployment, DevOps, application operations.Hands-on experience building: deterministic agents, automated workflows, AI-based systems, engineering assistants, automation platforms.Hands-on experience with containerization (Docker, Kubernetes) and orchestration of microservices. (Required)Strong background in managing cloud environments (AWS or GCP), including cost optimization and security best practices. (Required)Solid experience implementing CI/CD pipelines and using tools such as Jenkins, GitHub Actions, GitLab CI, or similarFamiliarity with machine learning workflows, model deployment patterns, and MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). (Preferred)EducationBSc or MSc in Computer Science, Engineering, or a related technical field. (Required)Relevant certifications in cloud platforms or DevOps practices (e.g., AWS DevOps Engineer, Azure DevOps, Google Cloud DevOps). (Preferred)LanguagesSpanish proficiency. (Required)High level of English . (Preferred)Hard SkillsStrong experience with public cloud platforms: AWS, Azure. (Required)Advanced experience with several modern software engineering technologies across backend, frontend, APIs, integration, DevOps and platform engineering, including Java/Spring Boot, Python, Node.js and .NET; React, Angular and TypeScript; REST APIs, GraphQL and event-driven architectures using Kafka or RabbitMQ; as well as Docker, Kubernetes, Terraform, CI/CD tools such as GitHub Actions, GitLab CI or Azure DevOps, and monitoring and observability platforms. (Preferred)Practical knowledge and hands-on experience in AI, including LLM-based architectures, deterministic AI agents, propt engineering, Retrieval-Augmented Generation, agent orchestration frameworks and AI-driven automation, with exposure to frameworkds such as LangChain, LangGraph, Semantic Kernel, AutoGen and CrewAI, as well as integration with models from OpenAI, Antrhopic, Gemini or AWS Bedrock. (Preferred)Soft SkillsStrong analytical and problem-solving capabilities. Strategic and architectural mindset. High level of technical autonomy. Automation-first mentality and continuous improvement mindset. Technical leadership and mentoring skills. Strong communication and collaboration abilities. WE VALUE YOUR IMPACTYour contribution matters, and it's recognized. ## Description We're enabling teams to go beyond by valuing who they are and empowering what they bring.The following requirements represent the knowledge, skills, and abilities essential for success in this role. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [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) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Are Software Engineer Wages Being Pushed Down? 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