AI Software Engineering SpecialistCountry: SpainIT STARTS HERESantander () is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible.This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.Our Chief Data & Artificial Intelligence Officer (CDAIO) division is building a world-class AI & Data team to make a difference in the lives of over 170 million people worldwide, through one of the largest banks in the world.We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy.

Join our team to play a part in one of the most important technological projects for the financial sector in the world.We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. THE DIFFERENCE YOU MAKECDAIO/ AI TECH is looking for a AI Software Engineering Specialistbased out of Madrid.You will be responsible for designing, developing, and implementing AI-driven solutions that accelerate software delivery, improve software quality, and automate engineering and operational processes across the development ecosystem. This is a highly technical role requiring deep expertise across software architecture, application development, DevOps, cloud platforms, and AI-enabled engineering practices.

Design and develop deterministic agents and intelligent automation systems focused on software engineering use cases. Implement AI-powered solutions to automate SDLC activities, including:code generation and review, automated testing, technical documentation,



quality analysis, incident management, CI/CD pipelines, observability and operations.Design scalable, resilient, and secure software architectures in cloud environments. Develop modern backend and frontend applications.

Define and promote best practices in software engineering, security, observability, and automation. Lead innovation initiatives related to AI-enabled software engineering.

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 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., 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). (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. (WE VALUE YOUR IMPACTYour contribution matters, and it’s recognized. We’re enable our teams to go beyond through global opportunities and broad career paths.Enjoy a hybrid working models—some days remote, some days onsite with your team—along with versátil hours.Access hundreds of courses on our platforms, including exclusive access to our global learning space: Receive a highly competitive salary with performance-based bonuses, motivating you to keep growing with us.Benefit from preferential banking terms, special interest rates on loans, life insurance, and more.Through BeHealthy, our global wellness programme, we promote Holistic wellbeing.That’s why we offer childcare support and family-friendly programmes tailored to each life stage.Get access to Santander Contigo, our program for employees and their families offering legal, emotional, and administrative advisory services.Extra benefits. LOCAL COMPLIANCESantander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation.

SummaryLocation: MadridType: Full time

📌 Remote Back End Software Engineer (Madrid)
🏢 Grupo Santander
📍 Madrid