Senior Infrastructure Engineer (ML/AI)

Overview Senior Infrastructure Engineer (ML/AI) - Workato, Madrid, Community of Madrid, Spain Join 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. Responsibilities * Deploy, 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 Skills * BS/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 Characteristics * Readiness to communicate in English with your colleagues. Seniority level * Mid-Senior level Employment type * Full-time Job function * Information Technology Industries * Software Development Referrals increase your chances of interviewing at Workato. Get notified about new Senior Infrastructure Engineer jobs in Madrid, Community of Madrid, Spain. #J-18808-Ljbffr