Platform engineers for machine learning/search systems develop the functions and services of the marketplace app Mercari through the development and maintenance of infrastructure and platforms. Mercari is actively applying machine learning/search technology to provide a more convenient, safer, and more enjoyable marketplace. Machine learning/search platform engineers use the cloud and Kubernetes to operate and improve machine learning/search systems.
Responsibility
Develop libraries and frameworks to improve the availability of machine learning/search systems
Improve the existing machine learning/search infrastructure and leverage industry-leading best practices to help the AI/search team operate
Disseminate the best practices of machine learning/search engine operation, improve the development process, and improve the skills of engineers
Develop and improve monitoring and logging systems for the evaluation of machine learning models/search experiments
Collaborate with other teams to develop large-scale infrastructure
Required Experience
Operating a web system
Over 5 years of software development experience and over 3 years of Java, Python, or Golang development experience
End-to-end backend system development experience
Basic knowledge and skills related to security, basic knowledge and troubleshooting skills related to RDBMS, SQL, network, Linux, monitoring system, logging, and operation
Communication skills to carry out projects in collaboration with multiple teams and stakeholders
Preferred Experience
Developing and operating large-scale distributed systems (Kubernetes, Hadoop, etc.)
Functional development and bug fixing skills necessary to improve system performance and reliability
Using container technology such as Docker and Kubernetes
Using the cloud (AWS, GCP, Microsoft Azure, etc.)
Microservice development and operation experience with Docker and Kubernetes