Kubernetes Technical Support Engineer, English Required

Posted Aug 21

This is a fully remote position, open to applicants in Mexico, +5 more countries.

πŸ“‹ Description

β€’ Assist in managing an enterprise AI vision platform that operates on Kubernetes and is utilized for video analytics.

β€’ Deliver hands-on Tier 2 / Tier 3 technical assistance.

β€’ Examine and resolve intricate issues related to Kubernetes deployments, software, infrastructure, networking, hardware, and configuration.

β€’ Engage directly with enterprise clients during troubleshooting sessions.

β€’ Reproduce client environments for effective troubleshooting.

β€’ Investigate complex incidents and pinpoint root causes.

β€’ Collaborate closely with Engineering on escalated issues and product-related challenges.

β€’ Propel product issues to a successful resolution.

β€’ Acquire knowledge of the AI vision platform, its architecture, and internal support processes during the onboarding phase.

β€’ Collaborate with senior engineers before taking full ownership of client issues independently.

β€’ Complete internal training and certification pertinent to the AI vision platform.


⛳️ Requirements

β€’ A minimum of 2 years of professional Technical Support experience, ideally providing Tier 2 / Tier 3 support for technical or enterprise software products.

β€’ Extensive, hands-on experience with Kubernetes in production settings.

β€’ At least one relevant Kubernetes or Cloud certification, such as CKA, CKAD, CKS, AWS, Azure, or an equivalent.

β€’ Strong troubleshooting skills across software, infrastructure, networking, and distributed systems.

β€’ Excellent written and verbal communication skills in English.

β€’ Experience working directly with clients in a technical role.

β€’ Ability to independently investigate ambiguous or complex technical challenges and guide them toward resolution.

β€’ Experience collaborating with Engineering teams on escalations, technical investigations, and product challenges.

β€’ Ability to convey highly technical concepts, findings, workarounds, and resolutions clearly.

β€’ Strong analytical thinking, ownership, organizational, and problem-solving abilities.

β€’ Practical expertise in Kubernetes within production environments.

β€’ Familiarity with containerized applications and troubleshooting related to containers.

β€’ Knowledge of Kubernetes deployments, services, pods, configurations, and typical failure scenarios.

β€’ Understanding of networking concepts and troubleshooting techniques.

β€’ Proficiency in troubleshooting infrastructure and distributed systems.

β€’ Experience with logs, monitoring, and diagnostic tools.

β€’ Skills in technical incident investigation and root-cause analysis.

β€’ Availability to work in alignment with U.S. East Coast business hours.

β€’ Capability to engage in live technical troubleshooting sessions with clients.


🏝️ Benefits

β€’ Integration with global brands and innovative startups.

β€’ Remote work or home office options.

β€’ If a hybrid or on-site work model is necessary, you will be informed during the initial session.

β€’ Schedule will be adjusted according to the assigned work cell or project.

β€’ Work schedule from Monday to Friday.

β€’ A day off to celebrate your birthday.

β€’ Comprehensive major medical insurance (applies to Mexico).

β€’ Life insurance coverage (applies to Mexico).

β€’ Diverse, multicultural work teams.

β€’ Access to training courses and certifications.

β€’ Opportunities to meet special guests from the IT industry.

β€’ Virtual integration events and interest groups.

β€’ English language classes.

β€’ Opportunities for advancement within our various business lines.

β€’ Proudly recognized as a Great Place to Work.

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