Middle Infrastructure Engineer

Summary

Join Workato's ML/AI team as a Middle Infrastructure Engineer and deploy, scale, and maintain services. Collaborate closely with ML Engineers and Data Scientists to modernize and mature the platform's infrastructure. This role requires a BS/MS degree in Computer Science or a related field, 3-5 years of hands-on engineering experience (DevOps/SRE), and proficiency in Python. Experience with hosting AI models and ML Ops is preferred. Workato offers a flexible, trust-oriented culture and a multitude of benefits.

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)
• Proficiency in Python language is essential
• Readiness to communicate in English with your colleagues

Responsibilities

• Deploy, scale, and maintain services for the ML/AI team
• Closely work with ML Engineers and Data Scientists as part of a small, flexible team
• Have a direct impact on the modernization and maturation of the platform, including infrastructure architecture decisions

Preferred Qualifications

• 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)
• Ability to program in other languages such as Go, Ruby, or JavaScript is a plus