Ai Software Engineering Analyst

OverviewJoin Santander’s CDAIO/AI TECH as an AI Software Engineering Specialist, shaping AI-driven practices to accelerate software delivery and automate engineering workflows.You will blend software architecture, DevOps, cloud engineering, and AI to build scalable, secure systems across the development lifecycle.Collaborate across engineering, infrastructure, and business domains to set technical standards and lead innovative AI initiatives.This role offers impact at scale within a mission-driven bank focused on withstanding risk while delivering value to customers.Compensaciones / Beneficioshybrid working modelflexible hoursSantanderOpen Academy learning platformcompetitive salary with performance bonuseshealth and wellbeing programs (BeHealthy)childcare support and family-friendly programsResponsabilidadesDesign deterministic agents and intelligent automation systems for software engineering use casesImplement AI-powered SDLC automation (code generation/review, automated testing, documentation, quality analysis, incident management, CI/CD, observability)Design scalable, resilient, secure cloud architecturesContribute to architecture decisions and technical standardsDevelop modern backend and frontend applicationsIntegrate AI/LLM capabilities into enterprise platforms and workflowsPromote best practices in software engineering, security, observability, and automationCollaborate with multidisciplinary teams across engineering, infrastructure, architecture, and business domainsLead innovation initiatives related to AI-enabled software engineeringEvaluate emerging AI technologies, frameworks, and toolingRequisitos principales5+ years in DevOps, SRE, or Platform Engineering (Required)Experience across software architecture, design, backend/frontend, systems integration, testing, deployment, operationsHands-on with deterministic agents, automated workflows, AI-based systemsContainerization with Docker and Kubernetes; microservices orchestration (Required)Cloud management (AWS or GCP) with cost optimization and security practices (Required)CI/CD pipelines with Jenkins, GitHub Actions, GitLab CI, or similarFamiliarity with ML workflows and MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI) (Preferred)BSc in Computer Science, Engineering, or related field (Required)Cloud certifications (AWS/Azure/GCP) (Preferred)Spanish proficiency (Required); English (Preferred)Strong analytical and problem-solving abilitiesStrategic and architectural mindsetHigh level of technical autonomyPublic cloud platforms: AWS, Azure (Required)Java/Spring Boot, Python, Node.js, .NET; React, Angular, TypeScriptREST, GraphQL, event-driven architectures (Kafka, RabbitMQ)

Requisitos principales5+ years in DevOps, SRE, or Platform Engineering (Required) Experience across software architecture, design, backend/frontend, systems integration, testing, deployment, operations Hands-on with deterministic agents, automated workflows, AI-based systems Containerization with Docker and Kubernetes; microservices orchestration (Required) Cloud management (AWS or GCP) with cost optimization and security practices (Required) CI/CD pipelines with Jenkins, GitHub Actions, GitLab CI, or similar Familiarity with ML workflows and MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI) (Preferred) BSc in Computer Science, Engineering, or related field (Required) Cloud certifications (AWS/Azure/GCP) (Preferred) Spanish proficiency (Required); English (Preferred) Strong analytical and problem-solving abilities Strategic and architectural mindset High level of technical autonomy Public cloud platforms: AWS, Azure (Required) Java/Spring Boot, Python, Node.js, . NET; React, Angular, TypeScript REST, GraphQL, event-driven architectures (Kafka, RabbitMQ)