Kubernetes Technical Support Engineer

Axented; Monterrey; Presencial; MXN 420.000 - 660.000; Jornada completa

Descripción de la vacante

Axented is seeking a highly technical Tier 2 / Tier 3 Technical Support Engineer to assist enterprise customers with Kubernetes-based deployments and AI vision platform issues. You will troubleshoot software, infrastructure, networking, and configuration problems in production environments and reproduce customer setups for diagnosis.

You will work closely with Engineering and Customer Success, manage support tickets, and communicate findings and resolutions clearly in English.

Formación

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

Responsabilidades

• 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.

Conocimientos

Kubernetes

Tier 2/3 support

Troubleshooting

Cloud platforms (AWS/Azure)

Linux

Networking

Customer communication

AI/Computer Vision

Herramientas

Monitoring tools

Logging tools

Ticketing systems (e.g., Zendesk)

Descripción del empleo

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.

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

• Requirements2+ 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 haveExperience 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.