Senior Infrastructure Engineer (ML/AI)
WorkatoAmsterdam, North Holland, Netherlands
Posted October 10, 2025
Full Time
About the Company
Workato is an enterprise automation platform that empowers businesses to orchestrate and automate their operations end-to-end using AI. With a focus on integration, workflow automation, and citizen development, Workato offers a democratized approach that enables IT and business teams to streamline processes across applications and data. Trusted by over 20,000 global brands, Workato is known for its security, scalability, and user-friendly interface.
Job Description
Workato is seeking a Senior Infrastructure Engineer with experience in the AI domain to support the deployment, scaling, and maintenance of their ML/AI team's platform. The role involves close collaboration with ML Engineers and Data Scientists, impacting platform modernization and architecture decisions. They emphasize a flexible and collaborative work environment and offer a dynamic work environment alongside a varied employee benefits package.
Requirements
- 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
- Programming Skills: Proficiency in Python language is essential
- Soft Skills / Personal Characteristics: Readiness to communicate in English with your colleagues
Benefits
- Benefits package
- Company culture
