Ai Software Engineering Specialist

Experteer OverviewHaga clic en “Solicitar” a continuación para enviar su candidatura.Asegúrese de que su CV está actualizado y de que ha leído primero las especificaciones del puesto.In this role, you will design and build AI-driven solutions to accelerate software delivery and automate engineering processes.You will work within the CDAIO AI Tech team in Madrid to shape architectures, implement AI-enabled SDLC improvements, and integrate AI capabilities into enterprise workflows.You’ll tackle scalable, secure cloud architectures and lead innovation in AI-enabled software engineering.This position offers the chance to impact one of the world’s largest banks through cutting-edge technology.Compensaciones / Beneficios* Design and develop deterministic agents and intelligent automation systems for software engineering use cases* Implement AI-powered solutions to automate SDLC activities (code generation/review, automated testing, documentation, CI/CD, observability)* Design scalable, resilient, and secure cloud architectures* Contribute to architecture decisions and technical standards* Develop modern backend and frontend applications* Integrate AI/LLM capabilities into enterprise platforms and workflows* Define and promote best practices in software engineering, security, observability, and automation* Collaborate with multidisciplinary teams across engineering, infrastructure, architecture, and business domains* Lead innovation initiatives related to AI-enabled software engineering* Evaluate emerging AI technologies, frameworks, and toolingResponsabilidades* 5+ years in DevOps, Site Reliability Engineering, or Platform Engineering* Experience across software architecture, backend/frontend development, testing, deployment, DevOps, operations* Hands-on with deterministic agents, automated workflows, AI-based systems* Docker and Kubernetes with microservices orchestration* Cloud experience (AWS or GCP) with cost optimization and security xqbhyrx best practices* CI/CD implementation experience (Jenkins, GitHub Actions, GitLab CI, etc.)* Familiarity with ML workflows and MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)* BSc in Computer Science or related field* Cloud platform certifications favored* Spanish proficiency; high level English preferred* Strong backend/frontend/API/DevOps/observability tooling skillsRequisitos principales* hybrid work model* learning through Santander Open Academy* competitive rewards* health and wellness (BeHealthy)* childcare support* Contigo employee support services

• 5+ years in DevOps, Site Reliability Engineering, or Platform Engineering
• Experience across software architecture, backend/frontend development, testing, deployment, DevOps, operations
• Hands-on with deterministic agents, automated workflows, AI-based systems
• Docker and Kubernetes with microservices orchestration
• Cloud experience (AWS or GCP) with cost optimization and security xqbhyrx best practices
• CI/CD implementation experience (Jenkins, GitHub Actions, GitLab CI, etc.)
• Familiarity with ML workflows and MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)
• BSc in Computer Science or related field
• Cloud platform certifications favored
• Spanish proficiency; high level English preferred
• Strong backend/frontend/API/DevOps/observability tooling skills

• competitive rewards
• health and wellness (BeHealthy)
• childcare support
• Contigo employee support services