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OverviewPresente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.Senior Infrastructure Engineer (ML/AI) – Workato, Madrid, Community of Madrid, SpainJoin to apply for the Senior Infrastructure Engineer (ML/AI) role at Workato. Workato transforms technology complexity into business opportunity and is a leader in enterprise orchestration with an AI-powered platform that enables teams to connect data, processes, applications, and experiences.ResponsibilitiesDeploy, scale, and maintain services for the ML/AI team.Collaborate closely with ML Engineers and Data Scientists as part of a small, flexible team.Contribute to modernization and maturation of the platform, including infrastructure architecture decisions.Qualifications / Experience / Technical SkillsBS/MS degree in Computer Science, Engineering or a related subject (or equivalent experience).3–5 years of professional experience in hands-on engineering roles (DevOps/SRE).6+ months of experience hosting AI models (e.g., ML flow, AWS SageMaker, Azure AI, Kubernetes) is preferred.6+ months of experience with ML Ops (ML flow, vector databases such as Qdrant, Dagster) is preferred.Kubernetes expertise: strong experience managing Kubernetes clusters and workloads, specifically using EKS.Programming skills: proficiency in Python is essential; knowledge of Go, Ruby, or JavaScript is a plus.Soft Skills / Personal CharacteristicsReadiness to communicate in English with your colleagues.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Workato. xsgfvud Get notified about new Senior Infrastructure Engineer jobs in Madrid, Community of Madrid, Spain.#J-18808-Ljbffr