Engineer - Distributed System Backend

Huawei Technologies Canada Co., Ltd.
Markham
CAD 80,000 - 120,000
Job description

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Location:

Markham, Canada

Job Category:

Information Technology

Job Reference:

dn63e1n2

Job Views:

2

Posted:

30.03.2025

Expiry Date:

14.05.2025

Job Description:

Huawei Canada has an immediate 12-month contract opening for an Engineer.

About the team:

Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud native databases, infrastructure resource scheduling and prediction, cloud-native middleware, media engines, and user experience studies. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.

About the job:

  • Work with a team of architects and engineers to develop proof-of-concept distributed systems and product components.
  • Investigate and design new data structures and algorithms focusing on distributed computing approaches on the latest and state of the art hardware technology.
  • Continuous enhancements on the AI-native data analysis system to fulfill customer requirements utilizing AI techniques for public cloud capacity management and scheduling.

About the ideal candidate:

  • Master's or Ph.D. in Computer Science, Computer Engineering, Applied Mathematics.
  • High proficiency with Golang, must be able to write strong/clean, brand-new code.
  • Deep understanding of fundamental concepts such as design of algorithms & data structures, object-oriented design and operating systems.
  • Understanding of distributed database/storage system/file system/memory allocation/cache system.
  • Highly analytical with strong problem-solving skills.
  • Self-motivated with a proven ability to learn and take initiative.
  • Ability to clearly articulate technical concepts and challenges.
  • Experience with Linux system level development, distributed system, or scheduling algorithm is an asset.
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