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Arize AI

DevOps Support Engineer (Argentina)

  • Seen live on Arize AI's site 2 days ago
  • Mid level
  • Remote
Pay
Not stated
Location
Remote (Buenos Aires)
Open for
12+ days
First seen
Oct 23, 2026
Apply on Arize AI's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Arize AI's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Arize AI, so its true age is longer.

Last checked Nov 2, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

3+ years of experience
“3+ years of experience in a DevOps, Infrastructure, or technical support role” (quoted from the posting)

What the posting discloses

AI screening
Uses AI to screen applicants
Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. (quoted from the posting)

Not stated: Pay, real vacancy.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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 unifies build, test, and run in a single workspace, so teams can ship faster with confidence.

Arize serves 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
  • Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Arize is committed to offering competitive and locally compliant compensation and benefits packages for employees outside the United States. Benefits, employment terms, and statutory offerings vary by country and will be shared during the hiring process based on the location of the role. Eligibility for specific programs and benefits is determined by local laws, market practices, and employment arrangements.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 job related factors that may include: transferable work experience, skill sets, and qualifications. Arize is committed to offering competitive and locally compliant compensation and benefits packages for employees outside the United States. Benefits, employment terms, and statutory offerings vary by country and will be shared during the hiring process based on the location of the role. Eligibility for specific programs and benefits is determined by local laws, market practices, and employment arrangements.

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 performing and how to improve it at scale.

Learn more about what we're doing here

https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/

https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/

Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup

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