Remote LATAM Kubernetes Support Engineer for AI Vision

Ualá; Buenos Aires; Remote; ARS 136,310,000 - 181,747,000; Full time

Benefits offered by this job

Fully remote

Job summary

Ualá is seeking a highly technical Tier 2/3 Technical Support Engineer to assist enterprise customers with Kubernetes-based deployments on an AI vision platform. This fully remote role targets LATAM-based candidates and requires availability during U.S.

East Coast business hours. Onboarding includes learning the platform, internal processes, and training with senior engineers before handling customer issues independently.

Qualifications

• 2+ years of technical support experience, preferably in Tier 2 / Tier 3 roles.
• Strong hands-on Kubernetes experience in production environments.
• At least one relevant Kubernetes or cloud certification (CKA/CKAD/CKS, AWS, Azure, or equivalent).
• Strong troubleshooting skills across software, infrastructure, networking, and distributed environments.
• Experience working directly with customers in a technical capacity.
• Strong written and verbal English communication skills.

Responsibilities

• Provide Tier 2 / Tier 3 technical support to enterprise customers.
• Troubleshoot Kubernetes-based deployments, software, infrastructure, hardware, networking, and configuration issues.
• Reproduce customer environments and run tests to diagnose technical problems.
• Work directly with customers during technical discussions and troubleshooting sessions.
• Manage and resolve technical support tickets.
• Collaborate with Engineering, Sales, and Customer Success teams.
• Escalate complex issues and product bugs to Engineering and help drive them to resolution.
• Clearly communicate technical findings, workarounds, and resolutions to customers.

Skills

Kubernetes

Linux

Troubleshooting

English communication

Customer-facing

Tools

AWS

Azure

Container tooling

Job description

Ualá is seeking a highly technical Tier 2/3 Technical Support Engineer to assist enterprise customers with Kubernetes-based deployments on an AI vision platform. This fully remote role targets LATAM-based candidates and requires availability during U.S.

East Coast business hours. Onboarding includes learning the platform, internal processes, and training with senior engineers before handling customer issues independently.