Senior Infrastructure Engineer (ML/AI)

Workato; Madrid, Barcelona; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading tech company in Madrid is looking for a Senior Infrastructure Engineer to join their ML/AI team. The role includes deploying and scaling services while collaborating with data scientists. The ideal candidate has 3-5 years of experience, a degree in Computer Science or Engineering, and expertise in Kubernetes and AI model hosting. The company promotes a flexible work culture and offers competitive benefits.

Servicios

Vibrant and dynamic work environment

Multiple benefits for employees

Formación

• 3-5 years professional experience in hands-on engineering roles.
• 6+ months of experience with hosting AI models.
• 6+ months of experience with ML Ops.

Responsabilidades

• Deploy, scale, and maintain services for the ML/AI team.
• Work closely with ML Engineers and Data Scientists.
• Impact modernization and infrastructure architecture decisions.

Conocimientos

Kubernetes Expertise

Hands-on engineering roles (DevOps/SRE)

Experience with AI model hosting

Communication in English

Educación

BS/MS degree in Computer Science, Engineering or related

Herramientas

AWS SageMaker

Azure AI

Kubernetes

ML flow

Dagster

Qdrant

Descripción del empleo

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

Quartz ranked us the #1 best company for remote workers

Responsibilities

• What does our ML/AI team do? The team supported a Generative AI solution for automation and integration. https://www.workato.com/go
• Our team comprises International Sr-level professionals from all over the globe, experienced in building high-performing, scalable, enterprise-grade applications. A unique team of multinational professionals with integration, cloud, and consumer experience.
• We are currently seeking a Senior Infrastructure Engineer with experience in the AI domain.
• As a Senior Infrastructure Engineer, you will be responsible for deploying, scaling, and maintaining services for the ML/AI team. You will closely work with ML Engineers and Data Scientists as part of a small, flexible team and will have a direct impact on the modernization and maturation of the platform, including infrastructure architecture decisions.

Requirements

Qualifications / Experience / Technical Skills

BS/MS degree in Computer Science, Engineering or a related subject (or equivalent experience)

3-5 years professional experience in hands-on engineering roles (DevOps/SRE)

6+ months of experience with hosting AI models (ML flow, AWS SageMaker, Azure AI, Kubernetes) is preferred

6+ months of experience with ML Ops (ML flow, vector databases (Qdrant), Dagster) is preferred

Kubernetes Expertise: Strong experience managing Kubernetes clusters and workloads, specifically using EKS (Elastic Kubernetes Service)

Soft Skills / Personal Characteristics

Readiness to communicate in English with your colleagues

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Demographic and Self-Identification Questions (EMEA)

Workato fosters an environment where diversity is celebrated and employees feel a sense of community and belonging. Our ability to win together as a team and to better each other is strengthened through our global perspectives, cultures, and identities. Your responses to the following questions are used (in aggregate only) for anonymized reporting related to our diversity and inclusion efforts. Your responses will not be associated with your specific application, will not be shared with the hiring team, and will not in any way be used in the hiring decision.

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