8 hours ago
Remote, ArgentinaMid Level
Responsibilities
- Triage and resolve infrastructure and platform support requests for on-premises customers.
- Monitor customer platform health using existing observability tools.
- Investigate Kubernetes-based deployments, identify root causes, apply fixes, and escalate issues when needed.
- Diagnose configuration, networking, and performance issues in self-hosted environments.
- Document common issues and resolutions in internal runbooks and knowledge bases.
Requirements
- At least 3 years of experience in a DevOps, infrastructure, or technical support role.
- Basic working knowledge of Kubernetes, including reading logs, describing resources, and understanding pod and service behavior.
- Familiarity with at least one major cloud provider: AWS, GCP, or Azure.
- Strong systematic troubleshooting abilities and written and verbal English communication skills.
- Experience supporting enterprise customers is preferred.
- Familiarity with Helm charts and Kubernetes deployment management is preferred.
- Experience with DNS, TLS, proxies, or firewalls is preferred.
- Willingness to learn and work autonomously in a fast-paced environment.
Benefits
- Competitive and locally compliant compensation and benefits packages are offered for employees outside the United States, with eligibility and terms varying by country, local laws, market practices, and employment arrangements.
- The role prioritizes candidates based in Buenos Aires, Argentina.
- Employees can participate in culturally conscious events and an active Lady Arizers subgroup.
- Employees regularly engage with industry experts, researchers, and ethicists on responsible AI.
Tech Stack
Categories
About Arize AI
Arize AI builds an observability and evaluation platform for machine learning, LLMs, and AI agents, helping teams monitor, trace, and improve models in production. The SaaS product is used by AI/ML engineers and MLOps teams to detect issues, run evaluations, and optimize performance using real production signals. Founded in 2020 and headquartered in San Francisco, the company serves enterprise customers across industries.