DevOps Support Engineer Argentina

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. For this role, we are prioritizing candidates who are based in Buenos Aires, Argentina.

What You’ll Do

• Serve as the first point of contact for on-prem customer issues, triaging and resolving infrastructure and platform support requests
• Monitor customer’s platform health using existing observability tools
• Investigate and troubleshoot Kubernetes-based deployments to identify root causes, apply fixes, and escalate when needed
• Work hands-on with self-hosted environments to diagnose configuration, networking, and performance issues
• Document common issues and resolutions to build out internal runbooks and knowledge base

You should have:

• 3+ years of experience in a DevOps, Infrastructure, or technical support role
• Basic working knowledge of Kubernetes — comfortable reading logs, describing resources, and understanding pod/service behavior
• Familiarity with at least one major cloud provider (AWS, GCP, or Azure)
• Strong troubleshooting instincts and ability to systematically diagnose issues
• Strong written and verbal communication skills in English
• Eagerness to learn in a fast-paced environment with a high degree of autonomy

What will set you apart:

• Experience working with or supporting enterprise customers
• Familiarity with Helm charts and how they're used to manage Kubernetes deployments
• Experience with networking concepts like DNS, TLS, proxies, or firewalls

Actual compensation is determined based upon a variety of