July 26
• 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 • Develop, support, and improve DevSecOps pipelines for applications predominantly written in Python using AWS-native infrastructure and tools, including SageMaker, Lambda, API Gateway, etc. • Script and automate infrastructure operations and management processes using tools such as Crossplane and Terraform • Establish and implement health and performance monitoring metrics and alarms for production systems using CloudWatch, DataDog, or equivalent
• 5-10 years of professional experience • 3+ years of experience as a DevOps Engineer • Proficient in scripting using Terraform and/or Crossplane • Experience supporting and scaling ML apps deployed to AWS Sagemaker is a plus
Apply NowJuly 25
51 - 200
Automate and streamline software delivery processes for clients' infrastructure.
July 24
201 - 500
Drive infrastructure changes and maintain application security using Infrastructure as Code.
July 24
51 - 200
Collaborate with engineers to address platform needs of large organizations.
July 21
51 - 200
Lead security and infrastructure for a VR training platform using Google Cloud.