DevOps Support Engineer

🕒 September 21

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Arize AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Arize AI is a company that provides a comprehensive AI observability and evaluation platform designed for AI engineers to build and manage AI applications, particularly those involving large language models (LLMs). The platform offers end-to-end AI tracing, monitoring, and evaluation tools to help users identify and resolve performance bottlenecks, ensure data quality, and improve the performance of AI systems. Arize also supports experimentation and visualization, enabling users to iterate rapidly on AI applications and maintain high-quality service delivery. The company caters to top AI companies, offering solutions for both online and offline LLM evaluation and observability. Arize's tools are particularly valuable for AI model monitoring, troubleshooting, and performance optimization, helping businesses mitigate risks and improve AI outcomes.

📋 Description

• 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

🎯 Requirements

• 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 • 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

🏖️ Benefits

• 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 • Regular chats with industry experts, researchers, and ethicists across the ecosystem • Culturally conscious events such as LGBTQ trivia during pride month • Active Lady Arizers subgroup

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