July 26
β’ Collaborate with Software Engineers, Data Scientists, and Product Managers to enable streamlined, secure, and continuous delivery of AI/ML capabilities that will be embedded into enterprise applications β’ Develop, support, and improve DevSecOps pipelines for applications predominantly written in Python using AWS-native infrastructure and tools, including SageMaker, Lambda, API Gateway, etc. β’ Script and automate infrastructure operations and management processes using tools such as Crossplane and Terraform β’ Establish and implement health and performance monitoring metrics and alarms for production systems using CloudWatch, DataDog, or equivalent
β’ 5-10 years of professional experience β’ 3+ years of experience as a DevOps Engineer β’ Proficient in scripting using Terraform and/or Crossplane β’ Experience supporting and scaling ML apps deployed to AWS Sagemaker is a plus
Apply NowDecember 13, 2023
August 30, 2023