Resource Management and Scheduling Algorithm Expert

от 300000 руб./мес.
Москва
Опыт от 6 лет

Job Responsibilities:

  • Take charge in the architecture design of large-scale distributive resource scheduling algorithm of HUAWEI 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 system.
  • Take charge in designing and optimizing core algorithms of large-scale distributive scheduling system, able to continuously optimize the algorithm of the distributive scheduling system to ensure optimal system scheduling performance, and participate in the design, development and implementation of scheduling system features.
    • Work Environment:

    • Salary higher than market average. We are ready to provide the best conditions to the best candidates.
    • Annual bonus, company options.
    • Medical insurance.
    • Phone expenses compensation.
      • Requirements:

      • 5+ 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 the 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.
      • 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.
      • Strong initiative in technology, with efficient communication and positive team spirit.
      • Hands-on experience in the construction of large-scale scheduling system is preferred.
      • At least Intermediate English.
        • Тип занятости:

          Полная занятость, полный рабочий день, у работодателя

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