Field Specialist Iii - Lwd/Dd Ops & On-Site Excellence

Scale Up Recruiting Partners; Buenos Aires; Remote; ARS 90,873,000 - 151,455,000; Full time

Job summary

Scale Up Recruiting Partners is seeking an AI Vision Platform Technical Support Engineer with 2+ years in technical support and strong Kubernetes expertise. This fully remote position targets LATAM-based candidates who can align with US East Coast business hours.

Onboarding emphasizes platform learning, certification, and collaboration with senior engineers. Responsibilities include Tier 2/3 support for enterprise deployments, troubleshooting across software, infrastructure, and networking, and

Qualifications

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

Responsibilities

• Provide Tier 2/3 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 and collaborate with Engineering, Sales, and Customer Success teams.
• Escalate complex issues and product bugs to Engineering and help drive resolutions.
• Clearly communicate technical findings, workarounds, and resolutions to customers.

Skills

Kubernetes

Customer communication

Troubleshooting

Linux

Tools

CKA

CKAD

CKS

AWS Certification

Azure Certification

Job description

AI Vision Platform Technical Support Engineer

The project is an AI vision platform running on Kubernetes and used for enterprise video analytics. We are looking for a highly technical Tier 2 / Tier 3 Technical Support Engineer to help customers troubleshoot and resolve complex platform, infrastructure, and deployment issues.

Location & Schedule

LATAM-based candidates only.

Fully remote.

Must be available to work U.S. East Coast business hours.

Onboarding

During the first month, the engineer will focus on learning the platform and internal support processes, working closely with senior engineers before independently handling customer issues. The onboarding also includes internal training and certification related to the AI vision platform.

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.

Requirements

• 2+ years of technical support experience, preferably in Tier 2 / Tier 3 support.


• Strong hands-on Kubernetes experience in production environments.


• At least one relevant Kubernetes or cloud certification, such as 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.


• Ability to independently investigate complex technical issues and collaborate with engineering teams.

Nice to Have

• Experience with AWS, Azure, or other cloud platforms.


• Linux troubleshooting experience.


• Experience with containers, networking, monitoring, and logging.


• Experience supporting enterprise software products.


• Exposure to AI, computer vision, video analytics, or similar technologies.