Workato is seeking a Middle Infrastructure Engineer to deploy, scale, and maintain services for the ML/AI team. The successful candidate will have a direct impact on the modernization and maturation of the platform.
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