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DevOps Support Engineer (Argentina)

Arize AI Verified employer

Actively hiring · Posted 5d ago · JEV2610BE0D639750

SalarySalary not disclosed
ExperienceFreshers welcome
LocationRemote
Work modeRemote · Full time
Openings1
IndustryMachine Learning, Big Data, Artificial Intelligence, Big Data Analytics, Distributed Systems, Deep Learning, and Artificial Intelligence / Machine Learning

Job description

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.

How to apply

  1. Sign in or create your free profile — takes about two minutes.
  2. Apply with one tap — your profile is shared directly with Arize AI.
  3. Track your application and get updates by email and WhatsApp.
Apply now
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