About Arize
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.
We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
The Team
Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative.
What You’ll Do
- 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
What will set you apart:
- 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
