h2o.ai
Montreal, QC
Closed
Job Details:
Join a leading AI platform as a Senior Technical Support Engineer. Help customers navigate cloud-native deployments and optimize their MLOps practices with your Kubernetes expertise. You will be instrumental in bridging our engineering teams and customers, ensuring high availability of AI applications. With a minimum of 5 years in a technical support role, you will tackle intricate issues and contribute insights to enhance the platform. Your mentorship will also uplift team efficiency and technical standards. Key Responsibilities: • Act as the point of escalation for technical challenges • Execute thorough root cause analysis for findings • Oversee management of Infrastructure Code issues • Champion best practices among junior engineers • Relay customer challenges for product improvement Requirements: • At least 5 years in a senior support role • Proficiency with Kubernetes and Docker systems • 3+ years of experience in coding solutions • Familiarity with cloud platforms like AWS or GCP • Strong Linux, networking, and database knowledge Utilize your skills to ensure smooth cloud-native AI solutions and enhance operational excellence in customer engagements.