Senior Infrastructure Engineer (ML/AI)

Workato; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A tech company specializing in enterprise orchestration is seeking a Senior Infrastructure Engineer (ML / AI) in Madrid. The role involves deploying and maintaining services within a collaborative ML team. Ideal candidates will have hands-on engineering experience with Kubernetes and a strong proficiency in Python. This position offers full-time employment in a dynamic tech environment.

Formación

• 3–5 years of professional experience in hands-on engineering roles (DevOps / SRE).
• 6+ months of experience hosting AI models.
• Strong experience managing Kubernetes clusters and workloads.

Responsabilidades

• Deploy, scale, and maintain services for the ML / AI team.
• Collaborate closely with ML Engineers and Data Scientists.
• Contribute to platform modernization and architecture decisions.

Conocimientos

Kubernetes expertise

Proficiency in Python

Communication in English

Experience with ML Ops

Educación

BS / MS degree in Computer Science or related field

Herramientas

AWS SageMaker

Azure AI

Kubernetes

Descripción del empleo

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