Kubernetes AI Vision Support Engineer

Motorolasolutions; Buenos Aires; Remote; ARS 68,155,000 - 113,592,000; Full time

Job summary

Proofpoint in Argentina is seeking a highly technical Tier 2/3 Technical Support Engineer to help enterprise customers troubleshoot and resolve complex platform, infrastructure, and deployment issues. This fully remote role requires LATAM-based candidates and availability to work U.S.

East Coast business hours. During onboarding you will learn the AI vision platform, work with senior engineers, and gain internal training and certification.

Qualifications

• 2+ years of technical support in Tier 2/3 roles.
• Strong hands-on Kubernetes experience in production.
• Kubernetes or cloud certification (CKA/CKAD/CKS, AWS, Azure) or equivalent.
• Strong troubleshooting across software, infrastructure, networking.
• Excellent written and verbal English communication.
• Ability to investigate complex technical issues and collaborate with engineering teams.

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

Technical support

Troubleshooting

English communication

Cloud platforms

Tools

AWS

Azure

Linux

Containers

Monitoring

Logging

Job description

Proofpoint in Argentina is seeking a highly technical Tier 2/3 Technical Support Engineer to help enterprise customers troubleshoot and resolve complex platform, infrastructure, and deployment issues. This fully remote role requires LATAM-based candidates and availability to work U.S.

East Coast business hours. During onboarding you will learn the AI vision platform, work with senior engineers, and gain internal training and certification.