Middle Infrastructure Engineer (ML/AI)

Workato is seeking a Middle Infrastructure Engineer with experience in AI domain to deploy, scale, and maintain services for the ML/AI team. The team is international and experienced in building high-performing, scalable, enterprise-grade applications.

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)
• 6+ months of experience with ML Ops (ML flow, vector databases (Qdrant), Dagster)
• Kubernetes Expertise: Strong experience managing Kubernetes clusters and workloads, specifically using EKS (Elastic Kubernetes Service)
• Programming Skills: Proficiency in Python language is essential. Ability to program in other languages such as Go, Ruby, or JavaScript is a plus

Benefits

• a vibrant and dynamic work environment
• a multitude of benefits