Ai Software Engineering Specialist

Experteer Overview Join 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 / Beneficios - Design deterministic agents and intelligent automation systems for software engineering use cases - Implement AI-powered SDLC automation (code generation/review, automated testing, documentation, quality analysis, incident management, CI/CD, observability) - Design scalable, resilient, 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 - 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, 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)Requisitos principales - hybrid working model - flexible hours - SantanderOpen Academy learning platform - competitive salary with performance bonuses - health and wellbeing programs (BeHealthy) - childcare support and family-friendly programs

This role offers impact at scale within a mission-driven bank focused on withstanding risk while delivering value to customers.Compensaciones / Beneficios - Design deterministic agents and intelligent automation systems for software engineering use cases - Implement AI-powered SDLC automation (code generation/review, automated testing, documentation, quality analysis, incident management, CI/CD, observability) - Design scalable, resilient, 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 - 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, 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)Requisitos principales - hybrid working model - flexible hours - SantanderOpen Academy learning platform - competitive salary with performance bonuses - health and wellbeing programs