Senior Infrastructure Engineer (ML/AI)

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.

• 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.