Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more.

Our Cloud Engineering team actively seeks Cloud Engineers to the Document Understanding area to join our fast-growing organization. In this role, you will provide easy to use pipelines to build and maintain application components working on the cloud in each significant supplier. In the Document Understanding area, we develop a user friendly tool for working with unstructured data documents. It is a unique opportunity to work with the latest Machine Learning technologies using Kubernetes.

IN THIS ROLE YOU WILL:

• Build, enhance and maintain Cloud Native solutions working on the cloud in each significant supplier (AWS, GCP, Azure),
• Enhance product from Machine Learning area working on Kubernetes
• Enhance pipelines to build components faster and more efficiently
• Build and enhance projects consistent with the latest standard "Infrastructure as a code"
• Collaborate with a young and perspective team 

ON DAY ONE WE WILL EXPECT YOU TO HAVE:

• At least 5+ years experience in a software engineering platform team in a Cloud, SaaS environment and supporting mission critical services.

• At least 3+ years of experience in Kubernetes. Experience with Amazon EKS, Azure AKS or Google GKE highly desired.
• Experience with CICD pipelines
• Experience with Cloud computing toolsets - Terraform etc. 
• Experience with configuration management tools.
• Good knowledge of distributed systems, APIs, cloud computing.
• Effective communication and collaboration skills.
• Solid interpersonal skills conducive to a team environment.
• Able to troubleshoot and resolve complex technical issues.
• Good skills in Python or Java
• Experience and knowledge of Jenkins is a plus