Remote Tier 3 Kubernetes Support Engineer (AI Vision)

Manatal-264

Buenos Aires

Remote

ARS 121,164,000 - 166,601,000

Full time

2 days ago
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Job summary

Proofpoint is hiring a highly technical Tier 2 / Tier 3 Technical Support Engineer for its AI vision platform, operating fully remotely with LATAM-based candidates. You will troubleshoot Kubernetes-based deployments, infrastructure, hardware, and networking issues, reproduce customer environments, and handle support tickets while collaborating with Engineering, Sales and Customer Success teams.

The onboarding includes learning the platform, internal processes, and certification related to the AI

Qualifications

  • 2+ years of technical support experience, preferably in Tier 2/3 support.
  • Hands-on Kubernetes experience in production environments.
  • At least one Kubernetes or cloud certification (CKA/CKAD/CKS, AWS, Azure, or equivalent).
  • Strong troubleshooting across software, infrastructure, networking and distributed environments.

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 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 resolution.
  • Clearly communicate technical findings, workarounds, and resolutions to customers.

Skills

Kubernetes expertise
Troubleshooting
Customer communication
English proficiency
Customer support

Education

Kubernetes certifications (CKA/CKAD/CKS)

Tools

AWS
Azure
Linux
Containers

Job description

Proofpoint is hiring a highly technical Tier 2 / Tier 3 Technical Support Engineer for its AI vision platform, operating fully remotely with LATAM-based candidates. You will troubleshoot Kubernetes-based deployments, infrastructure, hardware, and networking issues, reproduce customer environments, and handle support tickets while collaborating with Engineering, Sales and Customer Success teams.

The onboarding includes learning the platform, internal processes, and certification related to the AI

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