DevOps Engineer

Arize AI is an AI and agent engineering observability and evaluation platform that helps teams build, test, and run reliable AI systems. The DevOps Engineer will manage infrastructure for scalable SaaS and on-premise services, support customer environments, improve monitoring and reliability, and automate release pipelines.

Responsibilities:

• Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings
• Gather requirements from customers and adapt manifests and software to support new environments
• Use and augment monitoring tools to observe platform health, ensure performance and reliability
• Interact with the product team to test new features and package new on-prem releases
• Automate and optimize the release pipeline to make it as frictionless as possible
• Exhibit continuous curiosity for emerging technology that could solve our challenges

Requirements:

• 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar
• Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs
• Experience and fluency in Kubernetes
• A self starter with an ability to thrived in a fast paced environment
• Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments
• Strong troubleshooting skills