AI Hiring Index

Arize AI · Infrastructure · Unspecified · Posted 2026-09-21

DevOps Engineer

Arize AI · Remote (United States) · $150k–185k base

This range's midpoint is above 16% of posted infrastructure ranges at AI companies right now. See the salary index.

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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

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

Bench Engineer Submissions: We do not accept resumes or candidate submissions for bench engineers—individuals currently employed by a staffing, consulting, or third-party organization who are being marketed for placement on client engagements. All candidates applying for consideration must be seeking direct employment with Arize and should not be presented as part of an agency or consulting firm’s available bench.

The estimated annual salary for this role is between $150,000 - $185,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize

Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is perfo …

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