Job Details


Resource Management and Scheduling Algorithm Expert

Title: Resource Management and Scheduling Algorithm ExpertJob ID: MK323029311Location: Markham, ONOur client is looking for a Resource Management and Scheduling Algorithm Expert with a strong initiative in technology, efficient communication, and has a positive team spirit. This role requires to have an insightful of virtualization and containerization technologies, Linux underlying mechanisms of cgroup and namespace and experienced in the design and development of resource scheduling, storage and monitoring system.ResponsibilitiesTake charge in the architecture design on large-scale distributive resource scheduling algorithm of Cloud, equipped with prospective vision on technology and business, and able to participate in making as well as promoting the implementation of the orienting decisions regarding scheduling systemTake charge in designing and optimizing core algorithms of large-scale distributive scheduling system, able to continuously optimize the algorithm of distributive scheduling system to ensure optimal system scheduling, performance and participate in the design, development and implementation of scheduling system features.Qualifications5+ years of experience in architecture design and operational maintenance of large-scale distributive resource scheduling system in cloud computing area, with up-to-date industry knowledge reservoir of technologies.Good command of architecture, algorithm, implementation and design ideology of the mainline scheduling systems in the area of cloud computing.Familiar with deep learning, big data analysis and data mining and experienced with the application of resource scheduling system through hands-on implementation.Familiar with Linux and Shell, DevOps as well as operation and maintenance tool chain and ecosystem; working knowledge of public cloud, mainstream containerization technologies and related platforms.Experience in the research and development of cluster resource scheduling systems such as Yarn/Kubernetes/ Mesos is preferred.Hands-on experience in the construction of large-scale scheduling system is preferred.For more information about TEEMA and to consider other career opportunities, please visit our website at

Job Category:  [ View All Jobs ]
Experience (years): Unspecified
Job Location: Markham, ON Canada
Job Location Zip/Postal Code L3R 0A1
Posting Company Type Employer
Post Date: 03/12/2020 / Viewed 1 times
Contact Information
Company: TEEMA

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