- 发布日期:
- 2018-06-11 13:56:42
- 职位名称:
- PaaS Container and Resource Schedule Technical Expert
- 所属行业:
- 所在省份:
- 北美洲
- 薪资范围:
- 联系方式:
- jobs@dsi.com.cn
职位描述
Base: Toronto
Requirements
1. Design and development of PaaS container capabilities, breakthroughs in related key technologies.
2. Design and development of multi-service (webapp, database, big data, AI) on k8s, breakthroughs in related key technologies, including optimal resource utilization for large-scale and multi-service scenarios.
Requirements & Qualifications
A successful candidate for this position must have work experience from technology companies (preferred from large internet and cloud companies) and he/she will have many of the following skills and/or attributes to qualify for the job:
Eight or more years of experience in designing and developing distributed systems, containers, and big data services.
Experience in successful commercial rollout of large-scale distributed systems and cloud services is preferred.
Deep understanding of technologies related to containers and Kubernetes.
Deep understanding of big data and AI services; familiar with resource scheduling frameworks Yarn and Mesos; experience in optimizing scheduling algorithms for large-scale scenarios is preferred.
Knowledge about technologies related to big data/AI and Kubernetes integration.
Excellent problem analysis & solving skills.
Excellent personnel management and communication & coordination skills.
· Education Requirements
Master degree or a PhD in Computer Science or related field
Requirements
1. Design and development of PaaS container capabilities, breakthroughs in related key technologies.
2. Design and development of multi-service (webapp, database, big data, AI) on k8s, breakthroughs in related key technologies, including optimal resource utilization for large-scale and multi-service scenarios.
Requirements & Qualifications
A successful candidate for this position must have work experience from technology companies (preferred from large internet and cloud companies) and he/she will have many of the following skills and/or attributes to qualify for the job:
Eight or more years of experience in designing and developing distributed systems, containers, and big data services.
Experience in successful commercial rollout of large-scale distributed systems and cloud services is preferred.
Deep understanding of technologies related to containers and Kubernetes.
Deep understanding of big data and AI services; familiar with resource scheduling frameworks Yarn and Mesos; experience in optimizing scheduling algorithms for large-scale scenarios is preferred.
Knowledge about technologies related to big data/AI and Kubernetes integration.
Excellent problem analysis & solving skills.
Excellent personnel management and communication & coordination skills.
· Education Requirements
Master degree or a PhD in Computer Science or related field