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Customer Support Engineer
H2O.ai
Toronto, CAN
Full-time
Entry
Onsite
Discovered 1 weeks ago
Software engineeringCustomer technical supportKubernetesDockerLinuxBash
Free
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Software engineeringCustomer technical supportKubernetes
Role Overview
Join the MLOps team supporting the PST time zone.
Help develop a cloud-native platform for deploying machine learning models, monitoring them, and analyzing deployed models in real time.
The position is based in Toronto, Canada.
Key Skills for This Role
Software engineeringCustomer technical supportKubernetesDockerLinuxBash
Full Job Posting
About H2O.ai
H2O.ai develops open-source and enterprise AI technologies for organizations and public sector agencies.
The company focuses on generative AI, predictive AI, and machine learning operations.
About This Opportunity
Join the MLOps team supporting the PST time zone.
Help develop a cloud-native platform for deploying machine learning models, monitoring them, and analyzing deployed models in real time.
The position is based in Toronto, Canada.
What You Will Do
- Troubleshoot customer issues, analyze bug reports, reproduce problems, determine root causes, and provide fixes.
- Design new features, write code and unit tests, and contribute to end-to-end automated testing.
- Work with Kubernetes and write infrastructure code using Terraform and Helm charts.
- Review designs and code while improving software development practices and engineering efficiency.
What We Are Looking For
- Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
- At least 1 year of hands-on software engineering experience in a similar role.
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