Software Engineer
3 weeks ago
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 Software Engineer to be part of the DAI team in Canada that is entrusted with developing a platform for deploying machine learning models, monitoring them and providing statistical analysis on the deployed models as they are used in real-time. We are looking for an engineer with a strong foundation in software engineering, a passion for cutting-edge technologies, and a drive to push the boundaries of DAI. What You Will Do- Provide design for new features focusing on the approach and patterns to solve the problem.
- Analyze bug reports, determine root cause and provide fixes.
- 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 is beneficial.
- The company uses Kubernetes widely and working with Kubernetes would be an important aspect of the job.
- Review of design and code from 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 3+ years of professional hands-on experience in a similar role.
- Understanding of micro-services patterns and a strong design skills for large scale software development projects
- Experience in GoLang and/or Java with a knowledge of Spring framework.
- At least 1 year of hands-on experiencewith Kubernetes and Docker.
- Knowledge of Relational Database Design.
- A working knowledge of Python is required.
- A goodunderstanding of Docker, Kubernetes, Terraform and Helm.
- Experience with gRPC.
- Experience with Scala and Akka
- Experience with Apache Druid database.
- Understanding of mainstream Python 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 part of a world-class team
- Career Growth
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