Field Technical Support Engineer — On-Site With Flexibility

DB Financial

Buenos Aires

Remote

ARS 121,271,000 - 166,748,000

Full time

10 days ago

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Job summary

DB Financial is seeking a highly technical Tier 2/3 Technical Support Engineer for an AI vision platform running on Kubernetes, serving enterprise customers. This fully remote role targets LATAM-based candidates and requires overlap with US East Coast business hours.

You will troubleshoot Kubernetes deployments, reproduce customer environments, manage support tickets, and collaborate with Engineering, Sales, and Customer Success to drive timely resolutions.

Qualifications

  • 2+ years of technical support experience, preferably Tier 2/3.
  • Strong hands-on Kubernetes in production environments.
  • At least one Kubernetes or cloud certification (CKA/CKAD/CKS, AWS, Azure).
  • Strong troubleshooting across software, infra, networking, and distributed systems.
  • Experience working directly with customers in a technical capacity.
  • Strong written and verbal English communication.
  • Ability to independently investigate complex technical issues and collaborate with engineering.

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
Cloud certification
Troubleshooting
Customer communication
English

Education

Kubernetes certification (CKA/CKAD/CKS) or cloud cert

Job description

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.

Cordoba, Argentina

Full time

R14535

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