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Arize AI

AI model observability and evaluation platform

DevOps Engineer

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 3 years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer, or in a similar role.
  • Ability to communicate with customers and understand and address their infrastructure needs.
  • Experience and fluency in Kubernetes.
  • Ability to work independently in a fast-paced environment.
  • Experience with multiple cloud providers, including AWS, Google Cloud Platform, and Azure, and understanding of adapting cloud-native architectures for on-premises environments.
  • Strong troubleshooting skills.

Responsibilities

  • Work hands-on with the infrastructure supporting distributed, highly scalable services in SaaS and on-premises offerings.
  • Gather requirements from customers and adapt manifests and software to support new environments.
  • Use and augment monitoring tools to observe platform health and ensure performance and reliability.
  • Interact with the product team to test new features and package new on-premises releases.
  • Automate and optimize the release pipeline.

About the Company

Arize AI

AI model observability and evaluation platform

Arize AI provides a platform for AI observability and LLM evaluation that helps top AI teams monitor and improve models across NLP, computer vision, and recommender systems. It works by offering analytics, LLM traces, spans, RAG analysis, and task-based evaluations to troubleshoot issues and measure performance. It differentiates itself by delivering end-to-end observability and evaluation in a single platform with embedding visualization for RAG to pinpoint missing or irrelevant context. Its goal is to help AI teams ensure their models perform optimally and continuously improve their AI systems.

Company size
201-500
Company stage
Acquired
Total funding
$131M
Headquarters
Berkeley, CA
Founded
2020

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