Senior Infrastructure Engineer (Ml / Ai) Barcelona, Spain; Madrid, Spain

Workato Inc; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading enterprise orchestration company is seeking a Middle Infrastructure Engineer in Madrid to deploy and manage AI solutions. This role requires experience in Kubernetes, as well as a background in engineering and ML Ops. The ideal candidate will work closely with a versatile team to drive modernization initiatives in AI infrastructure. This position supports a dynamic work culture with numerous employee benefits.

Servicios

Flexible work culture

Dynamic work environment

Comprehensive benefits

Formación

• 3-5 years of professional experience in engineering roles (DevOps / SRE).
• 6+ months experience hosting AI models.
• 6+ months experience with ML Ops.

Responsabilidades

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

Conocimientos

DevOps expertise

Kubernetes management

AI model hosting

ML Ops knowledge

Communication in English

Educación

BS / MS degree in Computer Science or related field

Herramientas

AWS SageMaker

Azure AI

Kubernetes

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.

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

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

Recognition and awards:

• Forbes’ Cloud 100: Top 100 private cloud companies in the world
• Deloitte Tech Fast 500: 17th fastest growing tech company in the Bay Area, 96th in North America
• Quartz: #1 best company for remote workers

Responsibilities

Our ML / AI team supports Generative AI solutions for automation and integration. The team comprises international Sr-level professionals experienced in building high-performing, scalable, enterprise-grade applications. We are currently seeking a promising Middle Infrastructure Engineer with experience in the AI domain.

As a Middle Infrastructure Engineer, you will be responsible for deploying, scaling, and maintaining services for the ML / AI team. You will work closely with ML Engineers and Data Scientists as part of a small, flexible team and will have a direct impact on the platform's modernization and infrastructure architecture decisions.

Requirements

Qualifications / Experience / Technical Skills

• BS / MS degree in Computer Science, Engineering or a related field (or equivalent experience)
• 3-5 years of professional experience in engineering roles (DevOps / SRE)
• 6+ months experience hosting AI models (ML flow, AWS SageMaker, Azure AI, Kubernetes) (preferred)
• 6+ months experience with ML Ops (ML flow, vector databases like Qdrant, Dagster) (preferred)
• Kubernetes expertise: managing Kubernetes clusters and workloads, specifically using EKS (Elastic Kubernetes Service)

Soft Skills / Personal Characteristics

• Readiness to communicate in English with colleagues