About This Opportunity
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
What You Will Do
- 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.
What We Are Looking For
- 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 and strong 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 with AWS, 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.
How to Stand Out From the Crowd
- 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.
Why H2O.ai?
- Market leader in total rewards
- Remote-friendly culture
- Flexible working environment
- Be part of a world-class team
- Career growth
- Base salary range: CAD 80,000 - 100,000
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