We’re looking for a highly technical Technical Support Engineer to help enterprise customers troubleshoot and resolve complex platform, infrastructure, and deployment issues.
The project is an AI vision platform running on Kubernetes, used for enterprise video analytics. In this role, you’ll provide technical support across Kubernetes-based deployments, software, infrastructure, networking, hardware, and configuration issues.
You’ll work directly with customers during technical discussions and troubleshooting sessions, reproduce customer environments to diagnose issues, manage support tickets, and clearly communicate technical findings, workarounds, and resolutions. You’ll also collaborate closely with Engineering, Sales, and Customer Success teams, escalating complex issues and product bugs when needed.
This is a remote, full-time opportunity with compensation of up to $3,000 USD/month.
Requirements
2+ years of experience in Technical Support, preferably in Tier 2 / Tier 3 support
Strong hands-on experience with Kubernetes 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
Ability to independently investigate complex technical issues and collaborate with Engineering teams
Experience with Linux
Experience with AWS, Azure, or other cloud platforms
Hands-on experience with containers, networking, monitoring, and logging tools
Background supporting enterprise software products
Advanced English proficiency
Based in LATAM
Benefits
Remote, full-time opportunity
US$1,000 welcome package for equipment
Trip to BEON.tech headquarters in Buenos Aires
Health insurance
Psychotherapy sessions
Paid time off
Internet service
Flexible payments via crypto, wire transfer, Wise, PayPal, or Payoneer
English conversation club & workshops
Unlimited access to Udemy, Education IT & O’Reilly
AI Tools & Learning Program
Co-working spaces
Weekly challenges with quarterly prizes
Originally posted on Himalayas