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Senior Technical Support Engineer for Cloud-Native AI Solutions

h2o.ai
Full Timesenior
CAPosted April 1, 2026

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PythonJavaAWSGCPDockerKubernetesDevOps

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Job Description

Empower AI application deployments as a Senior Technical Support Engineer. Leverage your expertise to troubleshoot and optimize machine learning models in production, ensuring customer success.

In this pivotal role, you will utilize over 5 years of experience in technical support to resolve high-impact issues and mentor teammates. Your knowledge of cloud-native principles, Kubernetes, and Docker will be essential as you facilitate smooth deployments. Collaborate with developers and DevOps to enhance the AI platform based on valuable customer insights, contributing to its growth and efficiency.

Key Responsibilities:

  • Serve as technical escalation for complex customer issues
  • Execute detailed root cause analyses in cloud environments
  • Maintain Infrastructure Code for customer deployments
  • Review junior staff's technical solutions regularly
  • Transform customer feedback into product advancements

Requirements

  • Minimum of 5 years in technical support roles
  • Exceptional skills in customer-facing scenarios
  • Deep understanding of Kubernetes and Docker
  • 3+ years of coding in GoLang, Python, or Java
  • Proficiency with cloud services like AWS or GCP

Your expertise will shape the future of AI deployments and improve user experiences across platforms.

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