Customer Support Engineer

H2O.ai is on a mission to democratize AI for Good. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control.

Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit (Use the "Apply for this Job" box below)..

H2O.ai is at the forefront of the rapidly evolving MLOps landscape. We're leveraging MLOps to transform machine learning models from isolated, engineer-specific tools into robust, cloud-native services that are scalable and consistently available. Our approach is firmly rooted in Kubernetes, positioning our team at the cutting edge of cloud solutions. We are looking for a Customer Support Engineer to be part of the MLOps team supporting PST time zone that is entrusted with developing a platform for deploying machine learning models, monitoring them and provide statistical analysis on the deployed models as they are used in real-time.

We are looking for individuals with a strong foundation in software engineering, a passion for cutting-edge technologies, and a drive to push the boundaries of MLOps. This position is based in Toronto, Canada

• Engage with customers to identify and troubleshoot issues they face and answer technical questions.
• Analyze bug reports, reproduce issues, determine the root cause, and provide fixes.
• Provide design for new features focusing on the approach and patterns to solve the problem.
• Responsible for writing code along with relevant unit test cases.
• Contribute to end-to-end automated tests by ensuring that the newer changes have relevant test cases. Knowledge of Python would be beneficial in this area
• The company uses Kubernetes widely and working with Kubernetes would be an important aspect of the job.
• Review the design and code of other developers. Be engaged in the best software development practices and engage in improving the engineering efficiency of the team.
• Write Infrastructure Code using Terraform and Helm charts for any changes to infrastructure.

• Bachelor’s or a higher education degree in Computer Science/Engineering or related field.
• Proven experience in Software Engineering with a minimum of 1 year of hands-on experience in a similar role.
• Understanding of microservices patterns andstrong design skills for large scale software development projects.
• Strong knowledge of Linux operating systems, Bash, file systems, command line, logging, and Linux file permissions.
• Experience in GoLang,Python, C++, or Java (with a knowledge of Spring framework).
• At least 1 year of hands‑on experience with Kubernetes and Docker.
• Knowledge of Relational Database Design.
• An understanding of Terraform and Helm.
• Hands‑on experience withAWS, Azure, or GCP.
• Understanding of networking concepts and fundamentals (e.g. SSL, UDP/TCP, firewalls, and reverse proxies).
• Strong communication skills and comfortable being in a customer facing role.

• Experience with gRPC.
• Experience with Scala and Akka.
• Experience with Druid Database.
• Understanding of mainstream machine Machine Learning frameworks such as sklearn, pytorch and data science libraries like numpy and pandas.

• Market leader in total rewards
• Remote-friendly culture
• Flexible working environment
• Be…