July 26
🏡 Remote – Anywhere in California
• 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
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