Beschreibung
AWS Cloud Engineer (EKS, SageMaker, CloudFormation, MLOps)Duration: Until end of the year
Start Date: ASAP (Can wait until April 5th)
Project Language: English
Currently I am working with a Global Manufacturing Company that is half way through a large transformation from on-premise to cloud. This is a long term engagement for a team that is receiving a lot of investment from the wider group.
The ideal candidate will have similar experience working in a large and complex environment. Currently this position can be performed remotely, however a few onsite meetings might be required later in the year.
What You'll Do
• Build and scale the infrastructure for Docker-containerized deployments on AWS using ECS or EKS
• Build and deploy large-scale image data storage and processing pipelines utilizing tools such as Postgres, AWS Redshift, Spark, Snowflake
• Develop serverless deployments where possible through AWS SageMaker and Lambda
• Develop and support Machine Learning retraining and redeployment operations across large scale image data
• Focus on scalability and stability of our cloud stacks through metrics, monitoring, alerting and similar strategies.
• Understand and acquire data from large and varied sources (structured/unstructured) including web/clickstream data, mobile and core business application data, and third-party resources.
About your profile:
• Extensive experience with Amazon Web Services tools including some of: ECS, AKS, RDS, EC2, S3, SageMaker, CloudFormation, CloudWatch.
• Experience deploying containerized, auto-scaling server stacks on AWS at scale
• Experience deploying database-driven server applications at scale
• Experience with CI/CD pipelines utilizing Docker containerized deployments
• Experience with data warehouses such as AWS Redshift, Snowflake, etc.
• Experience with data ETL pipelines such as Apache Spark, Databricks, etc.
• Experience in implementing MLOps.
NO 3RD PARTIES OR CONSULTING COMPANIES OFFERING THEIR PERMANENT EMPLOYEES.