Role Overview
h2o.ai is hiring a Senior Technical Support Engineer for Cloud-Native AI Solutions. This is a full-time role in CA. Part of h2o.ai's Devops hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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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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Frequently Asked Questions
How do I apply for the Senior Technical Support Engineer for Cloud-Native AI Solutions position at h2o.ai?
Use the Apply button above to submit your application directly to h2o.ai. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Technical Support Engineer for Cloud-Native AI Solutions position at h2o.ai located?
This position is based in CA. h2o.ai has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Technical Support Engineer for Cloud-Native AI Solutions at h2o.ai earn?
h2o.ai has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Technical Support Engineer for Cloud-Native AI Solutions role at h2o.ai posted?
This role was posted on April 1, 2026 (68 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Technical Support Engineer for Cloud-Native AI Solutions role at h2o.ai require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. h2o.ai lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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